The EAGE Interactive Online Short Courses bring carefully selected courses from our catalogue online to give participants the possibility to follow the latest education in geoscience and engineering remotely. The courses include some of the most popular EAGE Education Tours (EET) and are designed to be easily digested over the course of two or three days.
Participants will have the possibility to interact live with the instructor and ask questions.
Education packages
To help you save on registration fees and better organize your learning path, we are offering Education Packages for all EAGE online courses. The packages are valid for a period of 12 months and give you credits (3, 5 or 10) to spend on courses of your choice.
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Courses open for registration
| Dates | Course Title | Instructor | Category | Subcategory | Registration | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| 17 Jan – 17 Mar 2022 | Geological CO2 Storage An EAGE Extensive Online Course | A. Busch, E. Mackay, F. Doster, M. Landro, P. Ringrose | Energy Transition | Energy Transition | Extensive Online Course | 2022 | January | EAGE | ||
| 27‑28 Jan 2022 | Value of Information in the Earth Sciences Interactive Online Short Course | Prof. Jo Eidsvik | Engineering | Reservoir Management | Interactive Online Short Course | 2022 | January | EAGE | engineering reservoir management value of information in the earth sciences decision making geostatics inversion modeling monitoring noise reservoir characterization rock physics seismic attributes sensors signal processing uncertainty instructor: prof. jo eidsvik (norwegian university of science and technology, norway) we constantly use information to make decisions about utilizing and managing natural resources. how can we quantitatively analyze and evaluate different information sources in the earth sciences? what is the value of data and how much data is enough? the purpose of the course is to give participants an understanding of the multidisciplinary concepts required for conducting value of information analysis in the earth sciences. the value of information is computed before purchasing data. it is used to check if data is worth its price, and for comparing various experiments. the course will outline multivariate and spatial statistical models and methods (bayesian networks, markov models, gaussian processes, multiple point geostatistics), and concepts from decision analysis (decision trees, influence diagrams), and then integrate spatial statistical modeling, geomodeling and decision analysis for the evaluation of spatial information gathering schemes. unlike the traditional value of information analysis, this course focuses on the spatial elements in alternatives, uncertainties and data. a coherent approach must account for these spatial elements, and clearly frame the decision situation - we demonstrate a workflow for consistent integration and apply this in a series of examples. in this course we discuss and show examples of the value of imperfect versus perfect information, where the likelihood model of geophysical measurements is less accurate. we also discuss the value of total versus partial information, where only a subset of the data are acquired. upon completion of the course, participants will be able to: - frame a spatial decision situation with alternatives, experiments and spatial geomodelling; - use a workflow to conduct value of information analysis in spatial situations; - interpret and compare the value of information of different spatial experiments. * motivation for value of information analysis in the earth sciences; * decision analysis and the value of information; - decision making under uncertainty, value functions, utility, decision trees, influence diagrams, value of perfect information, value of imperfect information - run simple demo example / project on computer * statistical modeling and spatial modeling; - bayesian networks, markov models, gaussian processes, non-gaussian spatial processes. an important element here is conditioning to data (bayes rule) and the spatial design of experiments, which will be important for the value of information analysis later - run demo / project on computer * value of information analysis for spatial models; - framing of spatial decision situations and opportunities for spatial data gathering - partial and total spatial information / imperfect and perfect spatial information - coupled or decoupled spatial value function - develop a workflow for value of information analysis in spatial applications - run demo / projects on computer * examples of value of information analysis in basin and petroleum systems modeling, and exploration drilling; - description of decision situations, statistical modeling, data gathering - run demo / project on computer * examples of value of information analysis in reservoir characterization, and seismic and electromagnetic data modeling; - description of decision situations, statistical modeling, data gathering - run demo / project on computer * examples of value of information analysis in mining and / or groundwater applications, and relevant data modeling; - description of decision situations, statistical modeling, data gathering - run demo / project on computer the course is designed for students, researchers and industry professionals in the earth and enviromental sciences who has interests in applied statistics and /or decision analysis techniques, and in particular to those working in petroleum, mining or environmental geoscience applications. participants should have knowledge of basic probability and statistics, and mathematical calculus. although it is not essential, it helps to know basic multivariate analysis and decision analysis or optimization. the participant must be willing learn statistical topics and earth science applications, and appreciate the multidisciplinary approach to solving quantitative challenges. jo eidsvik is professor of statistics at the norwegian university of science and technology (ntnu), norway. he has a msc in applied mathematics from the university of oslo (1997) and a phd in statistics from ntnu (2003). he has industry work experience from the norwegian defense research establishment (1998-1999) and from statoil (2003-2006). he has been a visiting professor at the statistics and applied mathematical sciences institute (samsi) in 2009-2010 and at stanford university in 2014-2015. eidsvik has teaching experience in a variety of statistics courses at the university level, including statistics, probability, applied regresssion analysis, stochastic processes, spatial statistics, computational statistics. he has been head of the graduate study program in industrial mathematics (~50 students every year), and he is currently head of the undergratuate program in physics and mathematics (~100 students every year). he has supervised 27 msc students and 3 phd students (currently supervising 2 more msc and 4 more phd). he has written about 40 papers in statistical and earth sciences journals. | |
| 1‑4 Feb 2022 | Introduction to Waterflood Management Interactive Online Short Course | Mr Ibrahim Saad | Engineering | IOR/EOR | Interactive Online Short Course | 2022 | February | EAGE | ||
| 10‑11 Feb 2022 | 3D Modeling of Naturally Fractured Reservoirs Interactive Online Short Course | Dr Tim Wynn | Geology | Geological Modeling | Interactive Online Short Course | 2022 | February | EAGE | geology geological modeling 3d modeling of naturally fractured reservoirs density fractures geocellular integration porosity production reservoir characterization wells workflows instructor: dr tim wynn (tracs international ltd, aberdeen, united kingdom) reservoir modeling for field development planning is a well-accepted process but its application to fractured reservoirs requires specific considerations that are less commonly known. this course describes a practical methodology for building 3d static (‘geocellular’) reservoir models for naturally fractured reservoirs using standard modeling software, covering such considerations. the issues addressed include the integration of log, core and seismic data, the process of defining and building the static reservoir model itself and the creation of output in a form appropriate for dynamic modeling using dual porosity reservoir simulators where appropriate. more complex workflows using discrete fracture networks will also be summarized, as will general issues of fracture description, uncertainty-handling and developing and managing fractured reservoirs. upon completion of the course, participants will: • be aware of practical workflows for modelling naturally fractured reservoirs using standard industry software; • understand the data-gathering requirements and methodology for characterizing fractured reservoirs; • appreciate the special distinction of naturally fractured reservoir models compared to standard single-porosity models. 1. origins and distributions of natural fracturing 2. describing and quantifying fractures from well data 3. estimating fracture system characteristics away from wells 4. geological model building workflow for implicit fracture representation 5. brief introduction to discrete fracture networks 6. basic fractured reservoir simulation model construction 7. fractured reservoir development and management considerations geoscientists and petroleum engineers newly working in naturally fractured reservoirs where they need to provide or receive output from fractured reservoir models. participants should have and in depth understanding of the oil business and a good understanding of conventional reservoir characterization and modelling techniques. no software will be used interactively during the day and no hands-on modelling experience is therefore required. however, it would be beneficial. dr tim wynn is a reservoir geologist with 27 years' experience in reservoir development and reserves evaluation studies with a focus on the geological and geomechanical aspects of naturally fractured reservoir characterisation and modelling. with a phd in structural geology from imperial college, london he joined geoscience limited in 1994 and spent 6 years working on fractured reservoir characterisation projects for the nuclear and oil industries. he then joined ice energy working on wellbore stability problems until the merger of ice energy with tracs international in 2001. during his career, tim has worked on a wide variety of international consultancy projects and delivered many training courses. this broad experience over many years has enabled dr wynn to understand the key issues for people working in naturally fractured reservoirs including biases in interpretation, inappropriate modelling techniques and understanding potential mitigations during the development and management of naturally fractured reservoirs. tim is a member of the eage, spe, geological society, london and pesgb and has published a number of papers since 1995 on structural geology, naturally fractured reservoirs and geomechanics. he is also a technical peer reviewer for the eage and spe. | |
| 15‑16 Feb 2022 | Geostatistical Reservoir Modeling and Uncertainty Quantification Interactive Online Short Course | Dr Dario Grana | Geophysics | Seismic Reservoir Characterization | Interactive Online Short Course | 2022 | February | EAGE | geophysics reservoir characterization geostatistical reservoir modeling and uncertainty quantification elasticity geostatistics integration inversion modeling monitoring noise rock physics time-lapse instructor: dr dario grana (university of wyoming, united states) reservoir modeling provides a set of techniques to create three-dimensional numerical earth models in terms of elastic, petrophysical and dynamic properties of reservoir rocks. mathematical/physical models of the reservoir are generally uncertain due to the lack of information, noise in data measurements, approximations and assumptions. the course focuses on geostatistical methods for reservoir modeling and uncertainty quantification techniques for reservoir predictions. it is divided into four main parts: geostatistical methods for interpolation and simulation; rock physics modeling; geophysical inverse problems; uncertainty quantification. uncertainty propagation from measured data, through physical models to model predictions will be studied with a focus on seismic data inversion, static reservoir characterization, structural modeling, dynamic fluid simulation, and time-lapse monitoring. real case studies will be presented for each topic to illustrate the proposed workflows. upon completion of the course, participants will be able to: • generate multiple reservoir models; • understand physical relations between reservoir and geophysical parameters; • evaluate the uncertainty of model predictions. the one-day short course will have the following schedule: • introduction • part 1: review of statistical analysis and probability • part 2: geostatistics and spatial uncertainty • part 3: rock physics • part 4: geostatistics and spatial uncertainty • part 5: seismic inversion • part 6: uncertainty quantification • part 7: visualizing uncertainty case studies will be presented for each section. the course is designed for employees of oil companies in geophysics and reservoir modeling. participants should have knowledge of basic reservoir modeling concepts and of common geophysical data. dario grana is an associate professor in the department of geology and geophysics at the university of wyoming. he received a ms in mathematics at university of pavia (italy) in 2005, a ms in applied mathematics at university of milano bicocca (italy) in 2006, and a ph.d. in geophysics at stanford university in 2013. he worked four years at eni exploration and production in milan. he joined the university of wyoming in 2013. he is coauthor of the book ‘seismic reflections of rock properties’, published by cambridge university press in 2014. he is the recipient of the 2017 eage van weelden award, the 2016 seg karcher award, and the 2015 best paper award in mathematical geosciences. his main research interests are rock physics, seismic reservoir characterization, geostatistics, data-assimilation and inverse problems for subsurface modeling. | |
| 15‑17 Feb 2022 | Seismic Diffraction – Modeling, Imaging and Applications Interactive Online Short Course | Tijmen Jan Moser | Geophysics | Surface Imaging | Interactive Online Short Course | 2022 | February | EAGE | geophysics surface imaging seismic diffraction – modeling, imaging and applications carbonates diffraction discontinuities fluid-escape features focusing fractures imaging injectites interpretation time-lapse unconventional instructors: prof. evgeny landa (tel aviv university, israel) and dr tijmen jan moser (moser geophysical services, netherlands) diffraction phenomena have been identified as the key seismic manifestation of fractures and other small-scale reservoir heterogeneities. this two-day course will present the current state-of-the-art of diffraction technology and put this in context by a review of its past developments. the course will cover both forward diffraction modeling and diffraction imaging. case studies of diffraction imaging will be presented covering applications in seismic exploration and other areas of geoscientific interest. the course will be clearly structured in topics and subtopics. at the end of each topic, a number of bullet points will summarize the items meant to be memorized and taken home by the learner. interaction between the teacher and learner will be encouraged. the course material will be enlightened by out-of-the box examples demonstrating diffraction phenomena that support the techniques. by the end of this course, the learner will: • have a detailed and up-to-date understanding of the physics of diffraction, diffraction modeling and imaging; • be able to effectively communicate the key aspects of diffraction technology with other professionals; • have a good understanding of the added value that seismic diffraction brings to current exploration and production projects. 1. introduction o motivation, basic ideas and concepts o reflection versus diffraction o applications of diffraction analysis and imaging o interpretation value 2. history o discovery and founding years (1650-1820): grimaldi, huygens, newton, young, fresnel, poisson, arago o scalar diffraction: mathematical foundation 19th century: green, helmholtz, kirchhoff, sommerfeld o towards geometrical theory of diffraction early 20th century: maggi, rubinowicz, keller o towards modern theory: trorey, klem-musatov 3. diffraction modeling o motivation, definitions, objectives o physical modeling o numerical modeling: integral methods, boundary layer methods, surface and caustic diffraction, finite differences, time-lapse, scattering methods o case study: diffraction analysis on ground penetrating radar data o case study: diffraction response of salt diapirs 4. diffraction imaging in the time domain o motivation, definitions, objectives o anatomy of diffraction o diffraction and standard processing o detection of diffracted waves o separation of diffracted waves o inversion of diffracted waves o imaging o common reflection surface/multifocusing o focusing and velocity estimation o fracture detection 5. diffraction imaging in the depth domain o motivation o velocity model considerations o illumination: edge and tip diffraction imaging o depth imaging: general principles o resolution and super-resolution o image processing and diffraction imaging o diffraction imaging by specularity suppression o applications: sandstone reservoirs, time-lapse, stratigraphic terminations against salt, carbonate reservoirs, shale resource plays, unconventional reservoirs o case studies the target audience of the course consists in geoscientists from industry and academia with a basic knowledge of seismic processing and an interest in innovative interpretation technologies. prerequisites are a basic knowledge of seismic processing and imaging and a very elementary mathematical background. evgeny landa obtained his msc degree in geophysics at novosibirsk university (1972) and phd degree in geophysics at tel aviv university (1986). he started his carrier in the former soviet union, novosibirsk as a researcher, and senior geophysicist at the siberian geophysical expedition. after immigrating to israel, he worked at the geophysical institute of israel as a researcher, head of the r&d group and head of the seismic department (1981—2002), and director of opera (applied geophysical research group) in pau (france) (2002-2014) where he was involved in different aspects of seismic data processing, velocity model building and time and depth imaging. his work on velocity model building by coherency inversion has had a strong impact on today’s seismic depth imaging workflows and forms an important part of the geodepth (paradigm) software package. recently, his research interest involves using non-reflecting energy for increasing seismic resolution and imaging without precise velocity information. he has published more than 60 papers in international journals and his book ‘beyond conventional seismic imaging’. he is a member of eage and seg, from which he received the awards of best paper (seg, honorary mentioned, 2005) and the eage eotvos award (2007 and 2009). tijmen jan moser has a phd from utrecht university and has worked as a geophysical consultant for a number of companies and institutes (amoco, institut français du pétrole, karlsruhe university, bergen university, statoil/hydro, geophysical institute of israel, fugro-jason, horizon energy partners). for the last few years he has been working independently with associations with zterra, sgs-horizon and others. he is based in the hague, the netherlands. his main interests include seismic imaging, asymptotic methods, seismic reservoir characterization, diffraction and geothermal exploration. he has authored many influential papers on ray theory and ray methods, born inversion and modeling, macro-model independent imaging, and diffraction imaging, several of which have received best paper awards (seg, 2005 honorary mention, eage 2007 and 2009, eotvos award). he is editor-in-chief of geophysical prospecting and is serving on seg's publication committee and eage's oil gas & geoscience division committee. he is a member of seg and maa and honorary member of eage. | |
| 15‑18 Feb 2022 | Full-Waveform Inversion for High-Resolution Reservoir Characterization Interactive Online Short Course | Prof. Dr Dries Gisolf | Geophysics | Surface Imaging | Interactive Online Short Course | 2022 | February | EAGE | geophysics surface imaging full-waveform inversion for high-resolution reservoir characterization avo elasticity fourier interpretation kirchhoff radon transform reflection scattering wave equation wavelet instructor: prof. dr dries gisolf (delft inversion, delft, netherlands) the purpose of this course is to teach participants the fundamentals of extracting quantitative property information from seismic data. in the end this leads to an inversion process, which is called linear if the data are supposed to consist in primaries only and is non-linear if all multiple scattering and multiple mode conversion over a target interval (typically 500 m around the reservoir) is taken into account. non-linear inversion leads to a higher resolution than obtained from conventional linear inversion techniques. all steps required in these processes are based on wave equations and it is important, therefore, to have a good understanding of acoustic and elastic wave equations. in linear (avo) inversion, first the reflection coefficients are derived from the data and subsequently the rock properties are derived from the reflection coefficients. in non-linear inversion, the properties are directly derived from the data. non-linear inversion is an iterative process of which the first iteration (the born approximation) represents the linear inversion result. the method is based on an integral representation of the wave equation. an important aspect of reservoir oriented full-waveform inversion (fwi-res) is that the surface recorded data are localized (focused) to the target area. this can be achieved by redatuming or by local demigration of migrated data. both the linear avo data model in terms of reflection coefficients and the non-linear data model in terms of property contrasts against backgrounds are presented. inversion, linear, or non-linear, requires regularization. several regularization options are presented. finally, linear and non-linear inversions at the reservoir scale are demonstrated by highly realistic synthetic reservoir models and real data case studies. the real data case studies include the extraction of low-frequency models (backgrounds) from well data and the extraction of angle dependent wavelets from the seismic-to-well match. upon completion of the course, participants will be able to: • understand what quantitative property information is contained in seismic data and how to extract it. • make better judgements as to what inversion method to apply to what problem. • adopt a more quantitative approach to seismic-to-well matching and low frequency background model extraction • further the role of reservoir geophysics in multidisciplinary projects. • introduction • short recap on complex integral transforms (fourier, laplace, f/k and linear radon) • the acoustic wave equation in inhomogeneous media • integral representations of the acoustic wave equation; kirchhoff-rayleigh and the scattering integral (lippmann-schwinger) • the avo data model; zoeppritz reflection coefficients • linear inversion of avo data including regularisation; synthetic and real data examples • the non-linear data model for inversion; data equation and object equation; iterative, multiplicatively regularised inversion • applications based on an elastic full wavefield non-linear data model; realistic synthetic reservoir study, real data case studies including low- frequency model extraction and seismic-to-well matching. synthetic time-lapse example. this course is designed for geophysicists active in reservoirs and/or quantitative interpretation and processing geophysicists who would like to become involved in quantitative interpretation. participants should have a basic training in geophysics and mathematics, particularly complex numbers and integrals. prof. dr dries gisolf graduated from the delft university of technology in 1971 and obtained his phd at the university of utrecht in 1975. in 1976 he joined shell international research co. in rijswijk, the netherlands, as a seismic data processing geophysicist. between 1980-2000 he held various positions for shell in oman, the netherlands, australia, malaysia and nigeria. throughout his career with shell he was involved in acquisition, processing and interpretation of seismic data, with an emphasis on quantitative prediction of reservoir properties. in september 2000 he was nominated as professor of acoustical imaging and sound control at the faculty of applied sciences at the delft university of technology. after retiring from tu delft in 2010, he co-founded delft inversion in 2012, a service company providing high-resolution reservoir oriented inversion services to the oil and gas industry. | |
| 21‑22 Feb 2022 | Integrated Seismic Acquisition and Processing Interactive Online Short Course | Mr Jack Bouska | Geophysics | Seismic Acquisition | Interactive Online Short Course | 2022 | February | EAGE | geophysics seismic acquisition integrated seismic acquisition and processing 3d dense surveys dynamite imaging interpretation land seismic mapping migration near surface obc offshore onshore sand sensors sparse data survey design vibroseis wave propagation instructor: mr jack bouska (independent consultant, calgary, ab, canada) this course covers both modern and future practices in 3d seismic acquisition survey design and field operations. the seismic experiment is introduced as part of a larger integrated system, one composed of acquisition design, field operations, data processing, imaging and interpretation. this one- or two-day course emphasizes how real-world aspects of interpretation, data processing, imaging and field operations can either constrain or liberate various survey design parameter choices. the course material conveys the full breadth of knowledge and tools required to select and adjust survey design parameters for optimum imaging of the subsurface target, while honouring equipment limits and surface constraints. the syllabus develops a practical set of survey design skills, using a combination of both presentations and in-class exercises. this knowledge and skill base is also reinforced using specific examples of cutting edge seismic acquisition projects from around the globe. all case histories were selected to emphasize the value of long offset, wide azimuth and simultaneous source techniques for onshore and offshore ocean bottom seismic acquisition 3d designs, employing both large and small field crews. each participant will gain exposure to the core principals of seismic 3d survey design, along with practice in selecting a balanced set of 3d acquisition geometry parameters for both optimum field implementation and competent data processing. students will also learn how those parameter choices directly affect acquisition operations, data processing and the quality of the final image volume. • foundations of seismic system integration and subsurface mapping; • methods of acquiring seismic data, to image the subsurface; • optimum processing of wide azimuth seismic data, to image the subsurface; • introduction to the survey design study, a data driven investigation into survey objectives, mapping requirements and geographic constraints; • the survey design procedure, techniques for selecting a balanced set of 3d geometry parameters; • offshore ocean bottom seismic 3d survey design, with worked examples; • onshore 3d seismic surveys using explosive sources, with worked examples; • onshore 3d seismic surveys using vibroseis sources, with simultaneous source examples. the course is designed for: 1. seismic acquisition specialists who wish to learn more about designing cost-effective acquisition programmes, that are well matched to state-of-the-art processing and imaging techniques, along with strategies to exploit the future of high channel count crews in order to create ultra-high quality images; 2. seismic processing specialists who wish to learn about how acquisition geometry parameter choice directly affects the ability to attenuate noise, and image the subsurface, in the context of a modern processing scheme 3. seismic interpreters with a desire to know more about both of the above. participants are assumed to possess a working knowledge of the reflection seismic method and its use in exploration and reservoir management. jack bouska graduated with a geophysics degree from the university of alberta (1980), and started working at seiscom-delta (1981) then moved to western geophysical (1983), before joining dome petroleum in 1985, persevering through the dome-amoco-bp mergers of 1988 & 1998. his career included residence in; london u.k., muscat oman, and calgary alberta, while tackling a wide variety of projects spanning across five continents. initial projects included revitalizing cost effective exploration for amoco canada using his invention of sparse-3d, later expanding into the s. american andes, designing and acquiring some of the world’s largest heli-portable 3d’s. his innovation at bp continued with novel acquisition techniques for seabed obc-3d’s in the north sea, caspian sea, gulf of suez, abu dhabi, indonesia and west of shetlands. while in the uk, jack also acted as team leader for the upstream technology reservoir management team, prior to moving to oman as the middle east region seismic delivery manager, where he instigated several ultra-high speed vibroseis surveys made possible by his invention of distance separated simultaneous sweeping (ds3). while in oman, he also invented a new type of seismic sensor and autonomous node recorder, resulting in several patents (as inventor) and a commercial implementation (the bp-schlumberger-rosneft nimble node). in 2013 he moved back to calgary as regional seismic delivery manager for bp’s oil sands and canadian offshore seismic programs, before retiring in 2015, and turning his attention to industry training and consultation. as an author of more than 50 industry papers and technical presentations, jack's innovations in seismic acquisition design and processing have been recognized by numerous geophysical societies; including the cseg with the best theme paper award in 1995, best of session papers in 1997 & 98 and best technical luncheon talk of 2014. the seg also awarded jack the best paper in the leading edge 2005, and honourable mention in best paper category, 2005 national convention. jack has served as an eage distinguished lecturer for 2007-2008 and in 2009, the society of exploration geophysicists selected him as the spring seg distinguished lecturer in geophysics. jack is an active member of the eage, seg, cseg, and apega. | |
| 21 Feb – 22 Mar 2022 | Introduction to Machine Learning for Geophysical Applications An EAGE Extensive Online Course | Jaap Mondt | Data Science | Machine Learning | Extensive Online Course | 2022 | February | EAGE | ||
| 28 Feb – 28 Mar 2022 | Developing Deep Learning Applications for the Oilfield: From Theory to Real World Projects An EAGE Extensive Online Course | Bernard Montaron | Data Science | Machine Learning | Extensive Online Course | 2022 | February | EAGE | ||
| 1‑4 Mar 2022 | Case Studies and Practical Considerations in Geophysical Acquisition and Processing Methods Interactive Online Short Course | Luca de Vincenzi | Geophysics | Integrated Geophysics | Interactive Online Short Course | 2022 | March | EAGE | ||
| 7 Mar – 7 Apr 2022 | Non-Seismic Data Acquisition and Processing: Gravity and Magnetics An EAGE Extensive Online Course | Jaap Mondt | Near Surface | Non-Seismic Methods | Extensive Online Course | 2022 | March | EAGE | ||
| 10‑11 Mar 2022 | Migration and Velocity Model Building Interactive Online Short Course | Mr Piet Gerritsma | Geophysics | Surface Imaging | Interactive Online Short Course | 2022 | March | EAGE | geophysics surface imaging migration and velocity model building depth migration imaging inversion time migration tomography traveltime velocities wave equation instructor: mr piet gerritsma (gerritsma geophysical training and consultancy, netherlands) the process of migration, whereby a proper image in time or depth of the subsurface is obtained, is directly related with the velocity model that both serves as input for the migration process as well as is the result of such a migration. therefore migration and velocity model building are intimately related processes. the implementation of migration is characterized by a multitude of methods and algorithms; there is also a great variety of methods to build a velocity model. this course provides an overview of the migration principles, methods and algorithms and an overview of velocity model building principles and methods and algorithms. examples and case studies will conclude this course. at the end of the course the participants will have obtained a complete overview and thorough understanding of the many alternative methods and algorithms that are currently in use in imaging and velocity model building. the course emphasizes for each method the underlying geophysical model together with its assumptions and strengths and weaknesses; many examples will be shown to illustrate the material; theory with references will be included; a handout that covers all course material will be made available. the following steps in migration, dmo and velocity model building will be discussed: 1. migration or imaging • migration, modelling and inversion • geometric approach to migration • examples • resolution before and after migration • aliasing • ray definitions • the dix equations • definition of time migration and depth migration • the acoustic wave equation • factorization of the wave equation • forward and inverse wavefield extrapolation in depth • migration principles; the imaging conditions • migration of various data sets: o shot profile migration o survey sinking or redatuming o zero-offset data migration • extended imaging conditions (time-shift and/or space-shift) • migration algorithms: o (k,f)-migration (stolt) o phase-shift migration (gazdag) o phase-shift-plus-interpolation (pspi) migration o split-step-fourier (ssf) migration o extended split-step fourier (essf) migration • the kirchhoff integral, the rayleigh integral and green’s functions • kirchhoff (= summation or diffraction stack) migration • migration by double focused array synthesis • gaussian beam migration • reverse time migration rtm • migration and demigration 2. velocity model building • minimal data sets and common image gathers cig’s • iterative velocity model building with cig’s • the migration conditions • migration and traveltime inversion • migration and demigration • normal incidence wavefront curvature and stacking velocity • velocity model parameterization • velocity model building methods: o coherency inversion or model based stack o map migration o dynamic map migration (dmm) or curvature inversion o stereotomography o traveltime inversion (tti) o traveltime inversion in the migrated domain (timd) o common focus panel (cfp) analysis o tomographic velocity model building o depth focusing analysis (dfa) o wemva: wave-equation migration velocity analysis o differential semblance optimization (dso) o full waveform inversion (fwi) 4. case studies examples • tomography • full wave inversion • velocity model building • parametric velocity estimation ocessing and interpretation ` geologists and petrophysicists who wish to understand how the various types of velocity information can be derived from seismic data and who wish to understand how subsurface images are generated. as the material covers the theory and practical implementations of present day practices, this course is relevant for those who are fresh from university as well as for those who wish to be updated on the newest developments. participants should have a basic understanding of seismic acquisition and processing practices. course participants should have a basic understanding of seismic acquisition and processing practices. piet gerritsma (1942) graduated in physics at the university of groningen. he joined shell in 1969 as a research geophysicist in rijswijk (the netherlands) and houston (usa). he was actively involved in the development of programs for statics, velocity analysis, synthetic seismograms and raytracing, deconvolution, multi-component seismic, shear waves and anisotropy, avo and migration. he acquired operational experience as processing and special studies geophysicist in brunei and in canada. he was shell"s representative in international research consortia: sep (stanford), delphi (delft university of technology) and ifp (institut francais du petrole); he also served as associate editor of geophysical prospecting on migration, modelling and inversion. during his shell career he has always lectured at both basic as well as advanced level covering a broad range of topics. he left shell in 1999 after 30 years of service. since that time he is a lecturer at ctg (center for technical geoscience) at the delft university of technology. he also teaches regularly courses for national and international oil companies and service companies, both as an independent teacher as well as on behalf of geoscience training alliances. he has presented this course several times on behalf of the eage and cseg. | |
| 15‑18 Mar 2022 | Modern Seismic Reservoir Characterization Interactive Online Short Course | Dr Leon Thomsen | Reservoir Characterization | Rock Physics | Interactive Online Short Course | 2022 | March | EAGE | ||
| 22‑25 Mar 2022 | 3D Printing as an Emerging Technology in Geosciences Interactive Online Short Course | Prof. Dr Franciszek Hasiuk and Dr Sergey Ishutov | Reservoir Characterization | Rock Physics | Interactive Online Short Course | 2022 | March | EAGE | ||
| 28‑29 Mar 2022 | The Benefit of Broadband Technology for Reservoir Characterization and Imaging – the End-User Value Interactive Online Short Course | Dr Cyrille Reiser | Geophysics | Seismic Acquisition | Interactive Online Short Course | 2022 | March | EAGE | geophysics seismic acquisition the benefit of broadband technology for reservoir characterization and imaging – the end-user value appraisal broadband case study interpretation inversion marine acquisition offshore reservoir sediment instructor: dr cyrille reiser (petroleum geo-services, london, united kingdom) the main aim of this course is to provide a very accessible overview of the many concepts behind broadband seismic (primarily offshore) and its implication for the reservoir focused asset based geoscientist. this will be done through the a very comprehensive set of case study material from all regions of the world and for various stages of the exploration, appraisal and development asset life cycle. the course aims to objectively discuss the various broadband seismic technologies and commercial offerings available today and their respective merits with regards to quantitative reservoir characterization and reservoir imaging using real world application examples. the course will further attempt to identify possible pitfalls and issues with regards to the treatment of broadband data that might lead to flawed or erroneous qi. upon completion of the course, participants will be able to understand the value of broader bandwidth seismic data in general and for quantitative reservoir analysis from interpretation to rock property estimation in particular. the course is intended to be very applied and hands on and will only review the very basic concepts of inversion based rock property analysis and quantitative interpretation but will otherwise focus on examples to illustrate the benefit of extended bandwidth seismic. • what is broadband seismic? • potential benefits • exploration case studies • appraisal development case studies • what next? the course is designed for geoscientists with a basic level of geophysical knowledge, including a general knowledge of towed streamer acquisition and processing methods but the content is designed to be accessible for most geoscientists working with or interested in using broadband seismic in their day-to-day working life. in other words, definitely no requirement for expert knowledge. dr cyrille reiser holds a ph.d in 1998 from lyon’s ecole normale with the title “automatic recognition of genetic sequence and sedimentary bodies by wireline log shape analysis”. he worked for 10 years with cgg prior to join and develop in end of 2008, the reservoir characterisation group in pgs reservoir. he is presently the reservoir characterisation director for pgs reservoir. | |
| 28‑31 Mar 2022 | Construction of Fractured Reservoir Models for Flow Simulation Incorporating Geology, Geophysics and Geomechanics Interactive Online Short Course | Reinaldo Michelena, Chris Zahm & James Gilman | Geology | Geological Modeling | Interactive Online Short Course | 2022 | March | EAGE | ||
| 5‑8 Apr 2022 | Mitigating Bias, Blindness and Illusion in E&P Decision Making Interactive Online Short Course | Mr Marc Bond | Training & Development | Human Resources | Interactive Online Short Course | 2022 | April | EAGE | training and development human resources mitigating bias, blindness and illusion in e&p decision making bias calibration decision making economics estimation heuristics intuition objectivity overconfidence planning post-appraisal uncertainty workflows risk instructors: mr marc bond (rose & associates, united kingdom) and mr creties jenkins (rose & associates, usa) decisions in e&p ventures are affected by cognitive bias, perceptual blindness, and various forms of illusion which permeate our analyses, interpretations and decisions. this two-day course examines the influence of these cognitive pitfalls and presents techniques that can be used to mitigate their impact. "bias" refers to errors in thinking whereby interpretations and judgments are drawn in an illogical fashion. "blindness" is the condition where we fail to see an unexpected event in plain sight. "illusion" refers to misleading beliefs based on a false impression of reality. all three—bias, blindness, and illusion--can lead to poor decisions regarding which work to undertake, what issues to focus on, and whether to continue investing time, effort, and money in a given project. the course begins by examining how these cognitive errors affect us. several different errors are discussed, including: perceptual blindness; illusions of potential, knowledge and objectivity; and anchoring, availability, confirmation, framing, information, overconfidence and motivational biases. exercises, videos, and examples help illustrate how these manifest themselves in our daily activities and affect our judgment, often without us realizing it. we then focus on the oil and gas industry where drilling portfolios, production forecasts, resource assessments, and other activities are regularly impacted. techniques are presented that can be used to mitigate cognitive errors and examples are shown where these techniques have worked. a key element of the course are the mitigation exercises which give participants a chance to apply what’s been learned to real-life situations. for example, what elements of the “anchoring bias” led to the belief that the exploration potential of a prospect offshore brazil was much greater than it turned out to be? or, what elements of the “confirmation bias” led to a decision regarding which analogous data should be used to predict the outcome of a new drilling project? the second day includes a series of exploration and appraisal case studies resulting in both positive and negative outcomes. participants are asked to identify cognitive errors contributing to the project results, and which of these had the greatest impact. this is followed by a 3-hour, real-world exercise using project data to give participants practice in addressing cognitive errors. the exercise requires participants to list all of their assumptions followed by a list of the contrary assumptions. this is followed by an assessment of the impacts if the contrary assumptions are true, and what key types of data / analyses will be required to determine which set of assumptions are correct. finally, the participants identify cognitive errors leading to the actual project outcome. the course concludes by presenting a summary ‘toolkit’ with mitigation techniques that can immediately be applied to project work and decisions. this includes a laminated card listing the various types of bias, blindness and illusion on one side, and the six key steps to mitigate these cognitive errors on the flip side. this helps participants immediately apply the concepts to their daily work. upon completion of the course, participants will be able to: • identify the influence of bias, blindness and illusion on their analyses, interpretations and decisions; • apply techniques that will mitigate the impact of these in their project work and decision-making; • ensure that their behavior does not unwittingly reinforce these cognitive errors in others. 1. introduction (1 hour) 2. blindness and illusion (3 hours) a. perceptual blindness b. illusion of knowledge, potential, and objectivity 3. bias (4 hours) a. anchoring, availability, confirmation, framing, information, and overconfidence bias b. motivational bias 4. case studies--an appropriate subset of these will be chosen (2 hours) a. plio-pleistocene sandstone (exploration well) b. cambrian sandstone (field appraisal) c. pliocene sandstone (exploration ‘drill or drop’) d. jurassic sandstone (exploration license round) e. cretaceous shale (field appraisal) f. cambrian sandstone (field appraisal) 5. real-world exercise--one of these will be chosen (3 hours) a. triassic sandstone, structural play (exploration well) b. fractured carbonate, waterflood potential (field appraisal) 6. summary ‘toolkit’ (1 hour) this course is designed to have broad appeal to all levels and disciplines within an organization: junior to senior level geoscientists, junior to senior level engineers, analysts, landmen, hse, hr, etc. and mid-level to senior managers and executives. the course is designed to be taught be one instructor. however, two different instructors are available to teach the course. marc bond (msc geophysics, colorado school of mines) is an associate with rose & associates specializing in exploration and appraisal assessments. he is actively involved in ensuring that the technical work underpinning an evaluation has appropriately reflected the opportunity and captures both the uncertainty and risk, leading to effective decision-making. he has over 35 years’ international experience in the oil and gas industry. previously he worked for bg group and tenneco oil where he held a variety of management and technical assignments, with his most recent roles including: chief geophysicist; subsurface assurance manager for conventional and unconventional exploration, appraisal and development projects; and exploration manager bolivia. creties jenkins (p.e., p.g.) is a partner with rose and associates specializing in the characterization of unconventional reservoirs. over the last 15 years he has conducted integrated studies, project reviews, and resource evaluations for 50+ companies and taught 100+ industry courses and workshops. he has served as a technical editor, distinguished lecturer, distinguished author for spe, and is a past president of the energy minerals division of aapg. creties has 30+ years of experience having previously worked at tenneco, arco, and degolyer & macnaughton. he holds a bsc in geological engineering and a msc in geology from the south dakota school of mines. | |
| 5 Apr – 5 May 2022 | Data Science for Geoscience An EAGE Extensive Online Course | Jef Caers | Data Science | Machine Learning | Extensive Online Course | 2022 | April | EAGE | ||
| 12‑15 Apr 2022 | Geological Interpretation of Geophysical Data for Mineral Exploration Interactive Online Short Course | Prof. Michael Dentith | Geophysics | Mineral Exploration | Interactive Online Short Course | 2022 | April | EAGE | geophysics mineral exploration geological interpretation of geophysical data for mineral exploration electromagnetism gravity induced seismicity magnetics minerals polarisation radiometrics resistivity instructor: prof. michael dentith (the university of western australia) the purpose of this course is to provide training in how to use geophysical methods in mineral exploration. designed for industry, government and student geologists seeking to understand how to use geophysical datasets to explore and map, and geophysicists seeking to include more geology in to their interpretations, this course teaches participants to integrate geological and geophysical data in a mineral exploration context. core topics include the basic principles of the main geophysical exploration methods used in mineral exploration including the importance of optimal processing and display of these data and the strengths and limitations of the various methods. particular attention is paid to extracting the maximum amount of geological information from the data, recognising noise-related artifacts in interpretation products and how to deal with the ambiguity when interpreting geophysical datasets. the course is based around a series of practical exploration exercises involving real exploration data. these data are processed and displayed, associated petrophysical data are analysed and then both quantitative (image analysis) and quantitative (modelling) interpretation methods are used to create an interpretation that combines all available geological and geophysical data. on completion of the course participants will: • understand how to integrate geological and geophysical information during mineral exploration • have experience in interpreting a range of real geophysical datasets in a mineral exploration context • have the ability to solve exploration challenges using geophysical methods • be familiar with state-of-the-methods for analysing petrophysical data • understand the capabilities and limitations of the various geophysical data types • be aware of the importance of geophysics in the future of mineral exploration the course comprises modules, the inclusion of which depends on its duration. 1. introduction to geophysics • a. geophysical methods used in mineral exploration • b. geophysical anomalies and their sources • c. ambiguity • d. geophysical exploration practice • e. cost of geophysics 2. practical exercise 1 – geophysical anomalies and exploration strategy 3. acquisition to display • a. signal and noise • b. sampling and survey design • c. data display 4. practical exercise 2a - data display 5. data enhancement • a. wavelength-based enhancement • b. gradient-based enhancements • c. amplitude-based enhancements 6. practical exercise 2b – data enhancement 7. gravity and magnetic methods • a. basic principles of gravity and magnetism • b. reduction of gravity data – the influence of terrain • c. reduction of magnetic data – the importance of levelling • d. enhancing gravity and magnetic data (derivative-based enhancements, continuation, reduction to the pole, pseudogravity) 8. practical exercise 3a – enhancing gravity and magnetic data 9. petrophysics • a. best practice in data collection and analysis • b. rock and mineral density and magnetism • c. physical properties and common geological processes 10. practical exercise 3b – analysis of petrophysical data 11. qualitative interpretation • a. beyond ‘geological pattern recognition’ in image interpretation • b. geophysical expressions of common geological features • c. common pitfalls 12. practical exercise 3c – interpretation of gravity and magnetic maps for exploration targeting 13. quantitative interpretation • a. representing the sub-surface with a geophysical model • b. regional-residual separation • c. forward modelling • d. inverse modelling • e. analysing a modelling result 14. practical exercise 3d – modelling magnetic anomalies for exploration targeting 15. radiometric data • a. basic principles of radioactivity • b. measuring natural gamma radiation • c. processing and displaying radiometric data • d. geology and geological processes and their effects on gamma radiation 16. practical exercise 4 – interpreting radiometric data for exploration targeting 17. electrical and electromagnetic methods • a. basic principles of electricity • b. electrical properties of rocks • c. resistivity method • d. induced polarisation method • e. basic principles of electromagnetism • f. electromagnetic data acquisition and interpretation 18. practical exercise 5 – interpreting electrical and electromagnetic data for exploration targeting 19. seismic reflection method • a. seismic waves • b. geological causes of variation in seismic properties • c. processing and interpretation of seismic data the course is designed for: • industry, government and student geologists seeking to understand how to use geophysical datasets to explore for minerals • geophysicists seeking to improve the integration of geology in to their interpretations participants should have a basic understanding of the geology of mineral deposits and mineral exploration practice. they should also be familiar with ms excel. dentith, m. and mudge, s.t., 2014. geophysics for the mineral exploration geoscientist. cambridge university press. professor mike dentith is professor of geophysics at the university of western australia, located in perth, western australia. he has more than 25 years experience in teaching, research and consulting in petroleum and mineral exploration geophysics. professor dentith is a senior and foundation researcher at the centre for exploration targeting, a minerals industry-funded research centre developing new exploration methods for the mining sector, where he leads the geophysical research theme. current research projects include geophysical signatures of mineral deposits, hard-rock petrophysics, magnetotelluric and seismic methods applied to mineral exploration and using geophysical methods for assessing regional-scale prospectivity. this research is funded by industry and government. professor dentith is co-author of the award winning textbook, geophysics for the mineral exploration geoscientist, and editor of two case study volumes on the geophysical signatures of australian mineral deposits. he has run numerous professional courses for industry, government and professional societies in australia, south american, asia, europe and africa. | |
| 21‑22 Apr 2022 | Medium and Low-grade Geothermal Energy: Geoscience and Geomechanics Interactive Online Short Course | Prof. Grant Wach & Prof. Maurice Dusseault | Energy Transition | Interactive Online Short Course | 2022 | April | EAGE | |||
| 3‑6 May 2022 | Integrated Methods for Deep-Water Reservoir Characterization Interactive Online Short Course | Dr Jon R. Rotzien | Geology | Stratigraphy | Interactive Online Short Course | 2022 | May | EAGE | geology stratigraphy integrated methods for deep-water reservoir characterization deposits facies gravity marine outcrop sedimentology sequence stratigraphy shallow instructor: dr jon r. rotzien (basin dynamics, llc, houston, tx, united states) deep-water depositional systems form some of the largest petroleum reservoirs on earth and represent the frontier of oil and gas exploration. however, deep-water depositional systems remain the least well understood because sediment gravity flows, including turbidity currents and hybrid and debris flows, are both infrequent and difficult to predict and monitor, setting them apart from sediment transport processes occurring on mountain tops and shallow marine settings. therefore, modern seismic data and, in particular, deep-water outcrops provide prime sources of stratigraphic data used to risk drilling targets and build reservoir models at every phase in the upstream exploration and production process. this course focuses on sub-bed-scale and field-scale architectural elements in deep-water depositional systems and how they affect the main risks in deep-water e&p across the value chain: reservoir presence, deliverability, seal and trap. the course has three main themes: 1. sediment gravity flows, sedimentation mechanics and resulting bed configuration. 2. depositional elements in the core, outcrop, and seismic scale. 3. application and interpretation of risk and uncertainty from new ventures to field development and eor. the impact of deep-water reservoir architecture on field success will be investigated through modeling theory, to derive strategies for optimal outcomes over a range of uncertainty. case studies will be used to illustrate each topic and determine appealing workflows. this course will alternate between inclusive lectures, hands-on technical demonstrations, and collaborative exercises involving practical application of cores, outcrops, logs, and seismic data. the course starts with an overview of how sediment is transported and deposited from shelf to bathyal depths and focuses on the broad range of sedimentary processes and depositional environments. individual and team exercises involving core and outcrop samples allow participants to describe samples and interpret their mechanism of deposition and their range of possible depositional environments. next, a deeper dive into depositional environments illustrates the types of facies, as well as depositional and stratigraphic architecture, likely to be found along the deep-water depositional system from submarine canyon to basin plain. collaborative exercises using core, outcrop, and seismic examples highlight the range of deep-water depositional environments and their effect on reservoir architecture and development. the skills of core description and integration, reservoir characterization, and sequence stratigraphy are emphasized. core-log-seismic exercises will show modern techniques on how to predict variations in reservoir architecture in deep-water depositional systems. this course will conclude with a discussion summarizing modern advancements in the prediction of sedimentary deposits, facies, and reservoir development in a variety of different settings. this course will give participants an understanding of the broad scope of marine siliciclastic depositional systems. upon completion of the course, participants will be able to: • describe transport and depositional processes of deep-water strata including turbidites, debrites, and transitional to hybrid flow type deposits • understand the different types of marine depositional environments (deltaic and outer shelf environments and those of submarine fans canyon, channel, levee, splay, overbank) and their implications to petroleum reservoir architecture and reservoir quality • understand and interpret modern and ancient marine depositional systems • characterize marine stratigraphy and build relationships with depositional environments using outcrop, core, and other oil and gas industry data • use lithofacies and stratigraphic architecture to understand variations in deep-water reservoir properties pertaining to petroleum reservoir presence, quality, and seal presence • conceptualize and apply source-to-sink transport and sequence stratigraphic methods to marine and deep-water sediment delivery • apply skills in seismic interpretation, reservoir characterization, core analysis, geophysical log interpretation, sequence stratigraphy, play fairway mapping, risk and uncertainty analysis, gross depositional environment mapping, and oil and gas exploration methods 1. introduction to marine depositional systems with a focus on deep-water depositional systems • significance of deep-water petroleum reservoirs to the global oil and gas industry • scientific and economic drivers for understanding sediment gravity flows and their deposits • sediment gravity flows in action - historic sediment gravity flows from canada, france, norway, and united states 2. reservoir prediction: transport and sedimentation processes of sediment gravity flows • types of mass movement and deep-water deposits • physics of sediment gravity flows and rheology, and steady vs uniform flows • predictive attributes of deep-water sedimentation to reservoir and seal presence, and reservoir quality 3. basic building blocks of clastic petroleum reservoirs: the range and variability of deep-water sedimentation units • high- and low-density turbidity currents and their impacts on petroleum reservoir development • bouma and lowe turbidite models and their application to reservoir characterization • debris flows and their impact on submarine fan sedimentation • transitional flows, slurry flows, and hybrid events and their classifications - m & h divisions and their impact on reservoir quality • mass-transport deposits (mtd) and review of other sediment remobilization processes, including contour currents and contourite deposits 4. source-to-sink concepts and impact on reservoir quality • source-to-sink method application to oil and gas exploration and production • paralic and shallow-marine processes of sedimentation • facies models and reservoir characterization for shallow-marine environments • river-, tide-, and wave-dominated deltas, and fan deltas • what are the different types of clinoforms observed in seismic data, and what is their role in sediment delivery to deep-water basins? • incised valleys as prospective oil and gas targets • ichnofacies of terrigenous, shallow-marine, and deep-marine depositional environments 5. the five main deep-water depositional environments according to 2d and 3d seismic, outcrop, core, and log data • canyons • channels • levees • lobes (splays), with an introduction to deep-water braided channel and lobe systems • overbank 6. scales of petroleum reservoir heterogeneity: architectural elements • what are the various methods of stratigraphic interpretation and genetic element classification in reservoir characterization? • sub-bed scale architecture and turbidite ratios 7. active margins vs. passive margins: deep-water sedimentary basins and their facies models • what are the effects of tectonic setting, shelf geometry, climate, and other critical factors on deep-water sedimentation? • rifts • range and variability in passive margin facies models • salt and its effects on sediment transport and deposition • what are typical facies models for active margins? discuss strike-slip and convergent margins, and hybrid basins associated with active margins • intracratonic basins • foreland basins • forearc and hybrid basins 8. large-scale drivers of continental margin sedimentation and application of sequence stratigraphic methods to exploration and appraisal • how was sequence stratigraphy developed by grabau, sloss, mitchum, vail, thompson, hubbard, van wagoner, and others? how is it applied? what are the strengths and limitations of a sequence stratigraphic approach? • aigr model • provenance and source-to-sink methods to understand sediment transfer and application to reservoir presence and reservoir quality • how do you know you’re in a deep-water depositional system? a review of key similarities and differences with deep-water systems and other systems including fluvial and shallow-marine environments • conclusions and recent advancements in deep-water petroleum reservoirs the course is designed for employees of natural resource companies in technical and management positions. industry professionals will receive an understanding of deep-water sedimentary transport processes and depositional products, as well as knowledgeable insight into the scale and architecture of the wide range of deep-water reservoirs. this course draws from materials presented in basin dynamics, llc field trips of major deep-water sedimentary outcrops worldwide. participants should have knowledge of basic reservoir and exploration and development concepts, as well as experience with common geological, geophysical and engineering data. • beaubouef, r.t., rossen, c.r., zelt, f.b., sullivan, m.d., mohrig, d.c., jennette, d.c., bellian, j.a., friedman, s.j., lovell, r.w., shannon, d.s., 1999. deep-water sandstones, brushy canyon formation, west texas: american association of petroleum geologists, bulletin, continuing education course note series #40, 48 p. • haughton, p., davis, c., mccaffrey, w., barker, s., 2009. hybrid sediment gravity flow deposits classification, origin and significance: marine and petroleum geology, v. 26, p. 1900-1918. • lowe, d.r., 1982. sediment gravity flows: ii. depositional models with special reference to the deposits of high-density turbidity currents: journal of sedimentary petrology, v. 52, p. 279-297. • marchand, a.m., apps, g., li, w., rotzien, j.r., 2015. depositional processes and impact on reservoir quality in deepwater paleogene reservoirs, us gulf of mexico: american association of petroleum geologists, bulletin. doi: 10.1306/04091514189 • morris, e.a., hodgson, d.m., brunt, r.l., flint, s.s., 2014. origin, evolution and anatomy of silt-prone submarine external levees: sedimentology, v. 61, p. 1734-1763. dr. jon r. rotzien is president of basin dynamics, llc and adjunct professor at university of houston. his expertise is the sedimentology and stratigraphy of deep-water depositional systems, source-to-sink sediment transfer, and basin analysis. jon addresses global challenges in the exploration and production of petroleum, including reservoir presence and quality forecasting in frontier to mature basins, and reservoir connectivity and deliverability. prior to his present position at basin dynamics, he was an exploration and appraisal geoscientist at bp. he has published peer-reviewed research papers and scientific conference proceedings pertaining to petroleum geology, reservoir quality, reservoir characterization, sequence stratigraphy, process sedimentology, basin analysis, and geophysics, and he teaches petroleum reservoir courses in north america, south america, europe and asia-pacific. he is a distinguished award winner of gcssepm (2018), associate editor of the bulletin of canadian petroleum geology and co-founder of the houston explorers club. mr. rotzien received a ph.d. in geological and environmental sciences from stanford university and a b.a. degree in geology from colorado college. | |
| 3 May – 3 Jul 2022 | Geological CO2 Storage An EAGE Extensive Online Course | A. Busch, E. Mackay, F. Doster, M. Landro, P. Ringrose | Energy Transition | Energy Transition | Extensive Online Course | 2022 | May | EAGE | ||
| 9 May – 9 Jun 2022 | Developing Deep Learning Applications for the Oilfield: From Theory to Real World Projects An EAGE Extensive Online Course | Bernard Montaron | Data Science | Machine Learning | Extensive Online Course | 2022 | May | EAGE | ||
| 12‑13 May 2022 | Introduction to Heavy Oil: Genesis, Properties, Distribution, Recovery Technologies and Upgrading Interactive Online Short Course | Dr Ali Shafiei | Engineering | Petroleum Engineering | Interactive Online Short Course | 2022 | May | EAGE | engineering petroleum engineering introduction to heavy oil: genesis, properties, distribution, recovery technologies and upgrading geomechanics heavy oil offshore viscous oil instructor: dr ali shafiei (nazarbayev university, astana, kazakhstan) the course explores heavy oil, extra heavy oil, and bitumen, also known as viscous oil (vo), resource development including its genesis, physical and chemical properties, resources, reserves, geographical distribution, production, transport, upgrading, refining, future technology developments, and environmental impacts. there are over 9 trillion barrels of heavy oil, extra heavy oil, and bitumen oil known to exist in the world. by comparison, originally there were about 4.7 trillion barrels of conventional oil of which almost 1.2 trillion barrels have been processed to date. canada and venezuela alone possess over 30% of the world endowment. since 1990 the vo in situ production industry has seen a number of startling advances. new production technologies, combined with developments in waste management, upgrading, monitoring and transportation have changed expectations. now, it is a widely held view that 15-20% of the world's vo resource base can be profitably produced with current technology; this ratio will rise as further technological advances are implemented. by 2030, vo's contribution to the daily oil production will be about 17%. these figures show the importance of vo developments in the near future to fulfill a major part of the growing global demand for fossil fuels. a summary of the main topics along with a brief description of the viscous oil resource, its size, production technology advances during the last few decades and environmental issues related to development of this vast resource. the terminology used herein, including terms alluding to vo physical properties (e.g. tar sands, heavy oil, extra-heavy oil, bitumen) and terms used to classify vo into categories such as known or assumed resources (ooip), technical reserves, and proven, probable or possible reserves are defined. chemical composition and physical properties play crucial roles in production technology selection as well as upgrading and refining technology selection. chemical and physical properties of some vo's are presented and the differences are discussed. some of the proposed mechanisms for vo emplacement, followed by the genesis, physical and chemical properties and reservoir characteristics of the some major vo fields in several countries are outlined. the nature and development of different in situ production technologies including scientific and engineering challenges such as understanding geomechanics impacts on production or finding other heat sources for steam generation are addressed. upgrading, refining techniques and transportation used in the vo industry is also highlighted. the environmental sustainability of vo development is also discussed. upon successful completion of the course the attendants will be able to: • describe genesis, physical, and chemical characteristics, and geographical distribution of heavy oil resources around the world; • explain the major commercialized and emerging heavy oil recovery technologies; • recall some examples of heavy oil recovery operations; • describe major heavy oil upgrading technologies. this course deals with: • genesis, physical, and chemical characteristics; • geographical distribution of heavy oil resources around the world; • major heavy oil recovery technologies and recovery mechanisms; • geomechanics effects; • examples of heavy oil recovery operations; • heavy oil upgrading technologies; • environmental issues; • technological challenges. the course has foundation level, but is comprehensive. a more detailed outline can be provided on request (depending on level and duration of the course and also background of the course participants). the course can be delivered in 1-2 days or in 4-7 days with more details including problem solving sessions. the course is intended for engineers, geoscientists, and technologists active in e&p industry involved in exploration, production, transportation, upgrading and environmental management. knowledge of the oil industry and a good sense of physics and chemistry will be valuable. dr ali shafiei is currently an assistant professor of petroleum engineering in nazarbayev university, astana, kazakhstan. he obtained his phd (march 2013) in “thermal heavy oil recovery and petroleum reservoir geomechanics” from the university of waterloo in canada with a dissertation on: “mathematical and statistical investigation of steamflooding in naturally fractured carbonate heavy oil reservoirs”. the focus of his phd research project was on developing mathematical and statistical tools to predict performance of steamflooding in naturally fractured heavy oil reservoirs as one of the very challenging classes of reservoirs in terms of reservoir behavior considering the complex production mechanisms involved and the interaction between the rock matrix and the fracture network. shafiei is a specialist in reservoir characterization and formation evaluation, heavy oil recovery from complex reservoir systems, eor, and petroleum geomechanics. shafiei has over a decade of canadian and international research, graduate supervision, teaching, training, and consulting/industry experience in the e&p industry. he was a scientific adviser to the alberta department of energy (alberta, canada) in 2014 served as a member of the innovative energy technology program (ietp 2014) to review progress reports on various full field scale trials that the alberta doe was involved with various oil and gas companies in canada on heavy oil recovery and geological co2 sequestration. he is also a long time active member of the eage, spe, and aapg. as of today, shafiei’s professional and academic experience has resulted in over 40 refereed journal papers, vetted conference proceedings, chapters in books and monographs in petroleum geosciences and engineering and reservoir geomechanics. | |
| 16‑20 May 2022 | Introduction to Data Analysis: Concepts and Examples Interactive Online Short Course | Dr Robert Godfrey | Geophysics | Seismic Processing | Interactive Online Short Course | 2022 | May | EAGE | ||
| 24‑25 May 2022 | Fundamentals and Practical Applications of SPE-PRMS for Conventional and Unconventional Reservoirs Interactive Online Short Course | Victor Alexei Huerta Quinones | Engineering | Reservoir Management | Interactive Online Short Course | 2022 | May | EAGE | engineering reservoir management fundamentals and practical applications of spe-prms for conventional and unconventional reservoirs cash flow analysis economics prms reservoir engineering risk analysis uncertainty instructor: mr victor alexei huerta quiñones (universidad nacional de ingeniería, lima, peru) this course allows an in-depth look at the framework, classifications, categorization and applications of spe’s petroleum resources management system (prms). participants will gain a solid understanding of this valuable resources management tool, including insight into the latest updated version (prms 2018), as well as, the use of some indicators to reserves management. in addition, this course will provide training in production forecasting and reserves estimation for conventional and unconventional reservoirs, by diverse methods such as field and reservoir analogy, volumetric estimations, material balance equation and rapidly applied decline models favored by the industry for routine forecasting. recommended methodology will be based on the resolution of some case studies with different modeling techniques, under a deterministic and probabilistic approach. at the end, the course will review some insights of how to evaluate oil & gas assets with some recommendations for a better decision-making. the aim of this course is to: 1. enhance background, criteria and technical skills of participants to classify, categorize and estimate reserves and resources in oil and gas assets; 2. make a brief and concise review and keep up with the latest definitions and regulations of reserves and resources definitions; 3. provide some guidelines and “rules of thumb” for a quick assessment of an oil and gas assets; 4. show that prms is a powerful management tool that is widely used in the industry. part i: prms project framework • prms project background • major principles and key guidelines in prms • how prms captures risk and uncertainty • assessing and reporting unconventional resources part ii: classification and categorization of reserves and resources • 2018 petroleum resources management system (prms) • comparison of sec and prms guidelines • definitions of prospective and contingent resources • reserves categories: proved, probable y possible • incremental vs. cumulative approach • indicators of reserves management part iii: reserves and resources estimates in conventional reservoirs • well / field analogy applications. • volumetric estimations • material balance applications • forecasting performance with decline-curve analysis (dca) and allied tools (numerical reservoir simulation) and understand their relative strengths • probabilistic approach to estimate reserves and resources in “green fields” and exploratory prospects • probabilistic dca for “brown fields” part iv: production forecasts and reserves estimates in unconventional reservoirs • traditional vs modern decline curve analysis • empirical and semi-theoretical decline models including arps, fetkovich’s, stretched exponential, power-law, transient linear flow, and duong • diagnostic plots for flow regime identification, pressure normalization of rate data, recommended workflow for pressure-rate-time production data analysis • developing probabilistic production type well curves • applications for tight oil and gas reservoirs part v: oil and gas assets value and decision analysis • traditional deterministic cash flow analysis: npv, irr, pay out, pir • decision trees concepts and calculation of expected monetary value (emv) • monte carlo simulation in estimating profitability indicators: expected npv and financial risk estimation the course is designed for technical staff, including managers, who are or will be responsible for reserve/resource estimation, or who will be responsible for the reporting of reserves and other resources to senior levels within the company or externally. technical disciplines may include: • commercial and management • economists • financial investment professionals • geologists • geophysicists • petrophysicists • reservoir engineers participants should have a prior knowledge of basic concept of reservoir engineering, reservoir characterization, reservoir management, cash flow analysis and risk analysis. victor alexei huerta quiñones is technical manager for reservoir management consulting (rmc), a consulting company specialized in managing oil and gas fields, as well as, their reserves and resources. petroleum engineer, graduated from the national university of engineering, lima - peru, and master of science in energy and the environment from the university of calgary, canada. he has 18 years of experience as reservoir engineer for oil and gas fields. he worked as senior numerical simulation engineer and development head at savia perú, working for subsurface projects of oil and gas fields, blocks z-2b and z-6. he was also head of the development and production department of petroperu in charge of the follow-up of the development of situche central field, block 64. he also worked for repsol peru as technical leader in the development of block 57 and for pluspetrol norte, in the surveillance of the heavy oil fields of block 1ab part-time associate professor of undergraduate and postgraduate petroleum and natural gas engineering school at uni for the courses “applied reservoir engineering”, “natural gas engineering”, “enhanced oil recovery” and “numerical reservoir simulation”. he was chairman of the society of petroleum engineers (spe) lima section during 2014-2015. "he has published more than 20 technical papers in international conferences organized by spe. | |
| 1‑2 Jun 2022 | Seismic Reservoir Characterization: An Earth Modeling Perspective Interactive Online Short Course | Dr Philippe Doyen | Geophysics | Seismic Reservoir Characterization | Interactive Online Short Course | 2022 | June | EAGE | geophysics reservoir characterization seismic reservoir characterization: an earth modeling perspective carbonates geostatistics integration interpolation interpretation inversion lithology rock physics sediment instructor: dr philippe doyen (independent consultant, london, united kingdom) three-dimensional numerical earth models play an increasingly important role in the petroleum industry to improve reservoir management and optimize hydrocarbon recovery. a key challenge for reservoir geoscientists is the quantitative integration of 3d and 4d seismic data into static and dynamic earth modeling workflows. using a combination of theory and illustrations from real field studies, this two-day course reviews best practices and challenges for constraining earth models with seismic information and quantifying subsurface uncertainty. the course objectives of the course are to: • provide a practical introduction to techniques and workflows combining geostatistics and rock physics for the construction of seismic-constrained earth models; • explain how to integrate quantitatively seismic and well data in earth modelling workflows and evaluate the associated geo-model uncertainty; • describe the assumptions and technical limitations of current seismic-based geo-modeling techniques, thus helping reduce the black-box application of software tools; • highlight the technical challenges and the road ahead for quantitative seismic interpretation. the two-days course is divided into 7 modules, which provide an overview of basic concepts and their application to a number of case study examples involving both clastic, carbonate and unconventional reservoirs. • module 1 introduction to geostatistics and earth modelling from seismic data. • module 2 geostatistical interpolation techniques for seismic-guided 3-d earth models. • module 3 stochastic simulation with seismic constraints. • module 4 seismic lithology and fluid prediction using statistical techniques. • module 5 stochastic inversion. • module 6 statistical rock physics. • module 7 simulator-to-seismic workflow using 4-d earth models. the course is aimed at geoscientists and engineers who are involved in the construction of earth models and who wish to learn about practical techniques for seismic data integration, combined use of seismic rock physics and geostatistics, uncertainty modeling and quantitative 4d interpretation. the course comes at a time when seismic-based earth modeling has become a key activity for integrated asset teams in the e&p industry. it should therefore be of interest to a broad audience, including technical specialists and managers, who are actively involved or supervise seismic-to-simulator activities. basic knowledge of seismic inversion techniques and geostatistics is desirable. basic knowledge of seismic inversion techniques ad geostatistics is desirable philippe doyen, formerly vp r&d for the geoconsulting business line of cgg, is now working as an independent consultant with worldwide responsibility for technology development in reservoir characterization. prior to joining cgg in 2003, philippe was research director for schlumberger information solutions (sis). he has also worked for more than 10 years with western geophysical / western atlas where he was r&d manager for reservoir geophysics. philippe holds ms and phd degrees in geophysics from stanford university. he also holds a mining engineering degree (1st class) from the university of louvain, belgium. philippe has been an adjunct professor at the university of bergen, norway, from 2006 to 2012. he was also part-time geophysics professor in the mining engineering department of the university of louvain from 1989 to 1992. philippe has over 25 years r&d, consulting and teaching experience in seismic reservoir characterization, geostatistics, geological modelling and rock physics. he has developed several patented methods for multi data integration and uncertainty quantification in reservoir modelling. | |
| 6‑9 Sep 2022 | Seismic Interpretation: Fundamental for Prospect Generation Interactive Online Short Course | Mr Dean Powell | Geophysics | Integrated Geophysics | Interactive Online Short Course | 2022 | September | EAGE | geophysics integrated geophysics seismic interpretation: fundamental for prospect generation 2d case study depth conversion faults interpretation land seismic mapping oil and gas rock physics seismic attributes seismic stratigraphy instructor: mr dean powell (powell seismic services) seismic data provide us with a response from the subsurface, rather than a model of the subsurface. the challenge for the seismic interpreter is to understand this response, manipulate it in accurate and creative ways in order to model the geology that gave rise to it, and in the process identify drilling targets. this course is designed to help geoscientists meet that challenge by assisting them to: - understand the basics of seismic acquisition and processing, - gain familiarity with qualitative and quantitative aspects of the seismic interpretation process, - utilize various interpretation techniques and tools, - identify and avoid obstacles that limit the reliability of an interpretation, - approach interpretation problems with creativity and perseverance, - apply sound geological reasoning, - build an understanding of how the ingredients can be integrated to constitute a reliable interpretation, - evaluate the risk of exploration success, - journey through the interpretation process to the choice of a drilling location. the course utilizes a comprehensive 2d interpretation exercise based on an actual exploration scenario. this exercise is tackled in different stages throughout the course, helping participants to progressively incorporate the many aspects of the interpretation process, from the early stages of understanding the geological setting and making the stratigraphic correlations, followed by fault interpretation and horizon mapping, through to depth conversion and geological modeling. additional exercises and case histories complement the classroom instruction, helping participants develop an open and creative mindset to broader exploration objectives as well as to the detail required for prospect generation. this mindset is one that looks for value in contributions from outside the strictly geophysical arena and also incorporates the geological risking process as a means of injecting rigor into the interpretation process. reinforcing the lessons gained from the major interpretation exercise, the concluding case history provides a further illustration of the integration of the available geotechnical data to achieve a successful outcome. this is not a survey design course. survey design is discussed but not covered in detail. after attending this course, the participant will: • recognize the limitations imposed on a seismic dataset by acquisition and processing specifications; • identify key mapping horizons and play types in a seismic dataset; • translate the seismic image into a realistic geological model; • generate credible hydrocarbon prospects. day 1 • the background: basic geophysics • the preparation: understanding the geology > exercise stage 1 • the kick-off: early observations > exercise stage 2 • the map: structural interpretation > exercise stage 3 day 2 • the model: seismic stratigraphy • the detail: quantitative interpretation > exercise stage 4 • the risk: prospect evaluation > exercise stage 5 • the background: basic geophysics all those interested in seismic imagery. the acquisition geophysicist may discover an unfamiliar presentation of familiar concepts. the processing geophysicist may discover the causes of some types of perturbations in seismic images. likewise, the interpreter may gain understanding of the limitations in seismic images. those in charge of financing these images may understand better why they are so expensive. the course is designed especially for early-career geophysicists and geologists as well as students in geoscience disciplines. it will also benefit other professionals involved in oil and gas exploration, particularly engineers and managers who wish to gain a better understanding of the role of seismic data in identifying drilling targets and to make a more informed assessment of the risk associated the decision to drill an exploration well. dean powell acquired a bachelor degree in applied science from the queensland university of technology at the end of the 1960s. he then began his geophysical career with a chevron affiliate in west australia, gaining extensive experience in the acquisition, processing and interpretation of seismic data. subsequently, he worked as a perth-based geophysical consultant for many years, providing project management as well as technical services on exploration and development projects in vietnam, new zealand and in many of australia's sedimentary basins. during the first decade of this century dean was employed as a principal geophysicist with origin energy. in this capacity he supervised 2d and 3d seismic acquisition and processing projects, although his main responsibility was the interpretation and mapping of seismic data. dean provided regional and prospect-scale mapping for exploration in many onshore and offshore regions in western australia and other parts of australia, as well as in indonesia, malaysia, new zealand and vietnam. in 2013 dean resumed his consultancy role, and has been engaged in the provision of seismic acquisition, processing and interpretation services relating to conventional and unconventional prospect generation as well as field development in a number of australian basins and in the timor sea. much of dean's experience has been in poorer data quality areas, enabling dean to develop particular expertise in the interpretation of poor quality datasets. over the years, drilling on the basis of dean's prospect mapping has, to date, resulted in more than a dozen commercially successful wildcat and near-field oil and gas discoveries. | |
| 19 Sep – 19 Oct 2022 | Developing Deep Learning Applications for the Oilfield: From Theory to Real World Projects An EAGE Extensive Online Course | Bernard Montaron | Data Science | Machine Learning | Extensive Online Course | 2022 | September | EAGE | ||
| 3 Oct – 3 Nov 2022 | Non-Seismic Data Acquisition and Processing: Gravity and Magnetics An EAGE Extensive Online Course | Jaap Mondt | Near Surface | Non-Seismic Methods | Extensive Online Course | 2022 | October | EAGE | ||
| 8 Nov – 8 Dec 2022 | Introduction to Machine Learning for Geophysical Applications An EAGE Extensive Online Course | Jaap Mondt | Data Science | Machine Learning | Extensive Online Course | 2022 | November | EAGE | ||
| On Demand | Carbonate Reservoir Characterization Self-paced Online Course | Dr Laura Galluccio | Reservoir Characterization | Rock Physics | Self-paced Online Course | 2022 | January | EAGE | reservoir characterization rock physics | |
| On Demand | EET 13: Velocities, Imaging, and Waveform Inversion - The Evolution of Characterizing the Earth's Subsurface Self-paced Online Course | Dr Ian Jones | Geophysics | Seismic Processing | Self-paced Online Course | 2022 | January | EAGE | geophysics seismic processing | |
| On Demand | Geostatistical Reservoir Modeling Self-paced Online Course | Prof. Dario Grana | Geology | Geological Modeling | Self-paced Online Course | 2022 | January | EAGE | geology geological modeling | |
| On Demand | Gazprom-Neft: Open Tools for Machine Learning in Oil & Gas Partner Course | Various speakers | Data Science | Machine Learning | Partner Course | 2022 | January | Gazprom Neft | data science machine learning | |
| On Demand | Shell: Geology for Non-geologists Partner Course | Young-Kon Yong (main instructor) | Geology | Geological Modeling | Partner Course | 2022 | January | Shell | geology geological modeling | |
| On Demand | Metakinetic: Borehole Breakout Analysis Partner Course | Simulation-based training | Geology | Geomechanics | Partner Course | 2022 | January | Metakinetic | geology geomechanics | |
| On Demand | Metakinetic: Detectability Analysis Partner Course | Simulation-based training | Geophysics | Passive Seismic | Partner Course | 2022 | January | Metakinetic | geophysics passive seismic | |
| On Demand | Metakinetic: PVT Analysis Partner Course | Simulation-based training | Engineering | Reservoir Engineering | Partner Course | 2022 | January | Metakinetic | engineering reservoir engineering | |
| On Demand | Metakinetic: Rock Mass Rating Partner Course | Simulation-based training | Engineering | Rock Mechanics | Partner Course | 2022 | January | Metakinetic | engineering rock mechanics | |
| On Demand | Metakinetic: Volume of Shale - Gamma Ray Log Partner Course | Simulation-based training | Geology | Petrophysics | Partner Course | 2022 | January | Metakinetic | geology petrophysics | |
| On Demand | Metakinetic: Wedge modeling Partner Course | Simulation-based training | Geophysics | Seismic Processing | Partner Course | 2022 | January | Metakinetic | geophysics seismic processing | |
| On Demand | In Pursuit of Increased Seismic Resolution while preserving Amplitude Fidelity E-Lecture Recording | Joseph Reilly | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | in this eage e-lecture: advances in acquisition and processing technology are an enabler for improving the resolution of our seismic images. however, care must be taken to ensure these imaging enhancements retain the amplitude fidelity necessary to allow for accurate reservoir identification and characterization; including detailed avo/dhi analysis. acquisition, processing and interpretation all play important and interrelated roles in obtaining the maximum utility from the seismic data. in this electure we will discuss where resolution and data fidelity can be gained or lost, what factors primarily determine bandwidth recovery, and what decisions still need to be made in a somewhat subjective, target oriented manner. in the presentation data from the guyana marine deepwater environment will be used to demonstrate fundamental principles and the evolution of acquisition and processing workflows over the history of this project. finally, we will suggest areas where additional improvements can be achieved in seismic field technologies, processing and interpretations workflows. | |
| On Demand | Full Waveform Inversion of Love Waves in Anisotropic Media E-Lecture Recording | Valérie Krampe | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | this eage e-lecture: "full waveform inversion of love waves in anisotropic media" (valérie krampe, eth zürich), deals with the integration of vertical transverse isotropy in seismic full waveform inversion. vertical transverse isotropy is a type of anisotropy that is typical for horizontally layered sediments. our focus lies on near-surface applications of full waveform inversion, where the wavefield is dominated by surface waves. by inverting only the sh-component of the seismic data, the inverse problem is reduced to three independent parameters, namely the vertical and horizontal s-wave velocities and density. with numerical examples, we show that the two velocity models can accurately be resolved by full waveform inversion. in comparison to an isotropic inversion, a more comprehensive subsurface model can be obtained, which allows a better characterization of shallow anisotropic media. | |
| On Demand | Automated top and base salt interpretation using machine learning E-Lecture Recording | Oddgeir Gramstad | Data Science | Machine Learning | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture: "automated top and base salt interpretation using machine learning" describes a new automated workflow based on machine learning which can significantly reduce the amount of manual interpretation of the top and the base salt boundaries. manual interpretation of salt boundaries on large seismic surveys with complex salt geometry is a time-consuming task. the interpreters typically need to scan through the seismic volume and pick surface control points line-by-line. it can take more than a month to complete a top or a base of salt interpretation. in this new method, two convolutional neural nets are designed to detect the top and the base of salt boundaries and the training data are picked as 2d images on two manual interpretations in a specific seismic survey. the trained networks are then evaluated both on the seismic data used in the training and on another seismic data not used in the training. in both cases we can produce a top and base salt interpretation that covers the main parts of the corresponding manual interpretations. the results can be further improved by adding more training data. this new automated workflow has the potential to reduce the interpretation turnaround time of both top and base of salt from approximately a month or more and down to hours. | |
| On Demand | Assessing the link between EMI data and hydrocarbon pollution at a former refinery site E-Lecture Recording | Luis Cavalcante Fraga | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | this eage e-lecture: "assessing the link between emi data and hydrocarbon pollution at a former refinery site" brownfield redevelopment is an answer to create potential building areas inside cities and avoid urban sprawl. however, soils and groundwater in place have often been contaminated by former activities. environmental assessments (ea) are thus necessary to characterize and estimate the contaminated volume of soils and the site rehabilitation cost. nevertheless, classical investigation techniques (boreholes, piezometers, sample analysis) can only provide punctual observations and are cost and time intensive. electromagnetic induction (emi) methods in the frequency domain can complement these investigations and map electromagnetic soil properties (soil-apparent electrical conductivity and in-phase component) in a quasi-continuous way at a site scale. linking these indirect geophysical properties to the soil chemical analysis through a geostatistical modelling could provide a better quantification of the pollution source and its spreading. besides, the effect of urban emi noises from urban utilities (transmission wires, underground cables and structures…) must be assessed for a successful data fusion. to evaluate the feasibility of this geophysical-geochemical-geostatistical approach, we present the first results of a study conducted over a 3 000 m² brownfield site. | |
| On Demand | Joint VP and VS Monte Carlo Inversion from Surface Wave Data E-Lecture Recording | Farbod Anjom | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | this eage e-lecture: "joint vp and vs monte carlo inversion from surface wave data" in common seismic surface wave methods, the surface wave dispersion curve is exploited to estimate the s-wave velocity (vs) model. since the dispersion curve is poorly sensitive to p-wave velocity (vp), the vp models usually are not the target of these methods. recently, the concept of the wavelength-depth (w/d) relationship, which is proven to be sensitive to both vs and vp, has been introduced. the joint inversion method presented in this e-lecture considers both surface wave dispersion curve and w/d relationship to estimate high-resolution vs and vp models. the method’s application to a field data set from a controlled site is shown, and the estimated vs and vp models are compared with benchmark values. | |
| On Demand | Permeability prediction from Induced Polarization at field scale E-Lecture Recording | Gianluca Fiandaca | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | in this eage e-lecture: “permeability prediction from induced polarization data at field scale” we present the estimation of intrinsic permeability from time-domain spectral induced polarization (ip) data, measured in boreholes and along 2d surface profiles. the mapping of intrinsic permeability (k), which is a measure of the ability of a porous medium to allow fluids to pass through it, is the holy grail of hydrogeophysics, but it has eluded attempts of resolution in the past. in this study full-decay ip data were inverted in terms of a re-parameterization of the cole-cole model, which present smaller parameter correlations and disentangles bulk and surface conduction. permeability values were computed from bulk conductivity and the maximum imaginary conductivity, using the empirically-derived formulae presented in a recent study without any calibration. the ip-derived k estimates, obtained from data acquired along sixteen 2d surface profiles and three boreholes on unconsolidated formations, were compared to those estimated using grain size analysis and slug tests, for a total of 157 comparisons. a good correlation, on average within one decade, was found between the k estimates over four orders of magnitude, with similar depth-trends. in conclusion, ip can be reliably used for estimating permeability on unconsolidated formations at the field scale, using the relations found in the laboratory without any further calibration. | |
| On Demand | Seafloor Massive Sulfide Eploration - A New Field of Activity for Marine Electromagnetics E-Lecture Recording | Hendrik Muller | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | seafloor massive sulfides (sms) are modern equivalents of vms deposits in the deep ocean and likely become significant sources for base and precious metal supply in the near future. electrical and electromagnetic (em) methods have shown success in locating sulfide ore deposits. however, system operation in rough mid-ocean ridge topography and data interpretation of marine polymetallic sulfides is still challenging. we present a new marine em instrument together with an integrated geophysical mapping approach for resource assessment and subsurface classification, correlating field em data with petrophysical and geochemical analysis. results provide first insights into the subsurface architecture of active and extinct sulfide ore deposits on central indian ridge and demonstrate the efficiency of this new method for deep-sea mineral exploration. | |
| On Demand | Feasibility of 3D random seismic arrays for subsurface characterizations in urban environments E-Lecture Recording | Bojan Brodic | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | in this eage e-lecture: "feasibility of 3d random seismic arrays for subsurface characterizations in urban environments" evaluates the feasibility of random - jittered seismic sampling for active and passive seismic imaging of potential contaminant migration pathways in urban environments. by using datasets acquired at a contaminated site in varberg city in southern sweden, bojan brodic compares the tomographically obtained velocity models from active-source jittered array versus conventional 2d landstreamer seismic data acquisition. apart from the active-source part, the ambient noise recorded on the random seismic array is used further for retrieval of the green's functions with surface waves successfully obtained. the processes and steps necessary for both active-source and passive seismic analyses are explained in an illustrative and easily understandable manner. the results show that the jittered seismic sampling shows advantages over conventional 2d landstreamer seismic by providing 3d velocity model of the bedrock surface and it's undulations that are used as contamination migration pathways and potential of the random seismic array for ambient noise studies. | |
| On Demand | Seismic Attenuation: Friend or Foe E-Lecture Recording | Mark Vardy | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this eage e-lecture: "seismic attenuation: friend or foe", we assess the role of attenuation in marine near surface seismic reflection data sets and discuss whether it is a potentially useful property for quantitative characterisation of the subsurface. the basic theory of intrinsic attenuation is briefly outlined, introducing the seismic quality factor (q-factor) parameter. we show several methods that can be used to make estimates of the subsurface q-factor from single-channel or short-offset seismic reflection data and how basic data quality can be improved by compensating for attenuation. moreover, we look at how variations in q-factor reflect changing ground conditions, demonstrating a strong link with sediment lithology and drained versus undrain soil mechanical behaviour. by combining q-factor estimates with more standard geophysical parameters (p-wave velocity and/or impedance) we illustrate how fundamental ground conditions can be inferred using geophysical data alone. as such, we suggest that attenuation should be considered a useful quantitative parameter, alongside reflection amplitude, phase and frequency. | |
| On Demand | METIS, a field-proof innovative method to revolutionize onshore seismic acquisition E-Lecture Recording | Bruno Pagliaccia | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | in this eage e-lecture: "metis, a field-proof innovative method to revolutionize onshore seismic acquisition": metis (multiphysics exploration technology integrated system) is an randd project aimed to make seismic acquisition 4.0 a reality. from logistics to real-time data qc, the entire process has been redesigned with an holistic approach. an hybrid airship to replace helicopter, wireless/real-time/biodegradable sensors to automatize data acquisition and a command and control center to operate the system from the base camp. all these elements will allow low-cost, safe and efficient seismic operations in hard-to-reach places like the tropical rainforest of papua new guinea (png). end of 2017, the main technological bricks have been tested on prl 15 concession, located onshore png, with a demonstration pilot where more than 60 darts were successfully dropped from a drone, through the canopy, to the ground with a good coupling. after few shots made with a mud-gun, real-time data acquisition has been validated in one of the most challenging environment to acquire seismic data. this first step is paving the way to the next pilot where a full 3d seismic volume will be acquired after thousands of sensors dropped by an autonomous swarm of drones. | |
| On Demand | Near surface geophysics for engineering Student E-Lecture Recording | George Tuckwell | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | near surface geophysics for engineering: information vs risk", geophysical techniques are just a part of the full toolbox available for ground investigation in engineering and construction projects. using geophysics at the right time in the right way requires an understanding of the information each instrument produces, and how this relates to what is produced by other options, for example digging or drilling holes. the requirements of a geotechnical or geoenvironmental ground investigation are best stated as a requirement to reduce risk of unforeseen ground conditions to an acceptable level. what an acceptable level is depends on the site, the project, and the client’s informed attitude to risk. as a result of some ground investigation effort (and cost) what do you know, and what do you still not know? the talk will explore these concepts, and use case examples to demonstrate where geophysical techniques are most useful. | |
| On Demand | FWI with Optimal Transport: a 3D Implementation and an Application on a Field Dataset E-Lecture Recording | Jeremie Messud | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture: "fwi with optimal transport: a 3d implementation and an application on a field dataset", we present the application to a 3d real dataset of full waveform inversion (fwi) with optimal transport (ot) using the kantorovich-rubinstein (kr) distance as proposed by métivier et al. (2016). this approach involves an efficient numerical implementation for ot in time and space directions, allowing the lateral coherency of the traces to be taken into account; this has an important impact on the quality of the results. the approach also exhibits a reduced sensitivity to local minima compared to least squares (lsq) misfit. moreover the iterative method used for the computation of the kr distance allows the production of a set of intermediary solutions that span progressively from lsq to ot. we recall the main components of the approach and present its numerical implementation in 3d. we show the improvement of the results compared to lsq fwi on real datasets. | |
| On Demand | Quantitative prediction of injected CO2 at Sleipner using wave-equation based AVO E-Lecture Recording | Peter Haffinger | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | in this eage e-lecture: "quantitative prediction of injected co2 at sleipner using wave-equation based avo", wave-equation based amplitude-versus-offset inversion is a fundamentally new approach towards converting seismic pre-stack data into elastic subsurface properties. by solving the full elastic wave-equation, the routinely made assumption of a linear relationship between seismic amplitudes and reservoir properties is overcome. as a consequence interbed multiples, mode conversions and transmission effects over the inversion interval are properly accounted for. additionally, the method directly solves for compressibility and shear compliance, which are approximately three times more sensitive to fluid and lithology changes when compared to impedances. this makes the technology suitable for quantitative interpretation even in geologically highly complex scenarios. in this e-lecture, a high level introduction to wave-equation based avo inversion will be given and an application to the sleipner carbon capture and storage (ccs) project will be presented. | |
| On Demand | Structural Dip, Migration and Quantitative Interpretation E-Lecture Recording | Ehsan Z. Naeini | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | it is relatively well known that migration stretches the waveforms of dipping reflections. it is less well known how this impacts quantitative interpretation of the data where, at the heart of such workflows, the seismic is tied to the well and subsequently inverted to obtain acoustic and/or elastic properties. it is shown here how migration stretch distorts well tie, coloured inversion, and model-based inversion. a post migration first-order zero-offset deconvolution is introduced to remedy this drawback, and the result is demonstrated on a synthetic and a reverse time migrated image. finally, it is argued that full-waveform inversion would inherently handle the dips without any need for stretch correction. (references: cherrett 2013 and naeini 2018). | |
| On Demand | Depth Domain Inversion: a Least-squares Migration Approach to Quantitative Interpretation E-Lecture Recording | Claudio Leone | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | qi workflows assume that seismic amplitudes are only linked to contrasts in rock properties, and that other wave propagation effects such as illumination, absorption, etc. have been addressed during seismic data processing and imaging. this assumption is often not met. the consequence is that 1d wavelets can’t adequately relate seismic amplitudes to reflectivity contrasts, and conventional time-domain inversion approaches inevitably struggle to accurately estimate the elastic rock properties. the effects of irregular illumination can be modelled by point spread functions (psfs), and removed from the seismic image with an inversion directly in the depth domain (fletcher et at., 2012). this technique, called depth domain inversion (ddi), improves imaging and inversion results by correcting for the effects of irregular illumination caused by the geological structure and overburden velocity variations. a north sea case study is presented where ddi is enhances amplitude fidelity and resolution beneath cemented sand injectites. | |
| On Demand | Cracking Open the Black Box Student E-Lecture Recording | Jesper Sören Dramsch | Data Science | Machine Learning | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture: "cracking open the black box - making sense of machine learning and neural networks", machine learning in geoscience has made a strong return recently, being applied across all disciplines in geoscience. in this presentation jesper dramsch presents the basic concepts of machine learning and goes into detail why it is so popular. they then go on to explain how it is applied and how we can gain scientific insights from these blackbox models and start including domain knowledge and physical properties in these machine learning systems. | |
| On Demand | Making the Transition from Discrete shot Records to Continuous Wavefields – Data Examples E-Lecture Recording | Tilman Kluver | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture: a novel seismic acquisition and processing methodology is demonstrated. the method retrieves the response of the earth from data acquired with continuous source and receiver wavefields. the ideal source wavefield would be band-limited white noise. ways of generating a source wavefield which approaches the properties of white noise using existing air-gun equipment will be discussed using real data examples. seismic data acquired by triggering individual air-guns with short randomized time intervals in a near continuous fashion will be compared to seismic data acquired with large source arrays triggered every 25m. the continuous source wavefield improves the sampling of common-receiver gathers compared to conventional acquisition methods. spreading the source energy out in time results in reduced peak sound pressure levels with the new method. | |
| On Demand | Making the transition from discrete shot records to continuous wavefields - Methodology E-Lecture Recording | Stian Hegna | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | in this presentation a novel seismic method is introduced. the method utilizes continuous wavefields on both the source side and on the receiver side. it requires continuous seismic recording, and a continuous or near continuous source wavefield approaching the properties of band-limited white noise. the main operational benefits are reduced environmental impact of marine seismic sources, and potentially improved acquisition efficiency. the main geophysical benefit is improved spatial sampling on the source side both inline and potentially cross-line | |
| On Demand | Increasing Acquisition Efficiency by Acquisition of Data During Turns, Using a Multimeasurement Streamer E-Lecture Recording | Sneha Biswas | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture sneha biswas talks about the ability of multi-measurement streamers in conjunction with the acquisition of data during turns for an efficient marine seismic acquisition. acquiring data during turns is an approach to improve productivity of marine seismic surveys. data results post noise attenuation compares the quality of this data against straight line acquisition and demonstrates the usability of this turn data. | |
| On Demand | Reservoir Elastic Parameters Estimation from Surface Seismic Data using JMI-res: A Full-Wavefield Approach E-Lecture Recording | Aayush Garg | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | traditionally, reservoir elastic parameters inversion suffers from the unaccounted overburden multiple scattering and transmission imprint in the local input data used for the target-oriented inversion. in this e-lecture, we present a full-wavefield approach, called reservoir-oriented joint migration inversion (jmi-res), to estimate the high-resolution reservoir elastic parameters from surface seismic data. in the jmi-res, we reconstruct the fully redatumed virtual source-receiver data (local impulse responses) within the earth subsurface, while correctly accounting for the overburden internal multiples and transmission losses. then, we apply a localized elastic full waveform inversion on the local impulse responses to get the elastic parameters. we show that jmi-res provides much more reliable local target impulse responses, thus yielding high-resolution elastic parameters, compared to a standard redatuming procedure based on time reversal of data. moreover, this approach avoids the need to go full elastic for the whole subsurface, as within jmi-res elastic full waveform inversion is only restricted to the reservoir target domain. | |
| On Demand | Triple-Source Simultaneous Shooting, a Future for Higher Density Seismic E-Lecture Recording | Jan Langhammer | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | jan langhammer’s e-lecture has the following subject: reducing the crossline bin-size in marine seismic streamer exploration can be performed by using more sources without compromising the efficiency of the operation. triple-source in marine seismic streamer acquisition has been tested in the past, but with limited commercial success compared to dual-source acquisition. with the introduction of new and better low noise streamers, in addition to the ability to record and deblend simultaneous source data, it is time to revisit the use of triple-sources in marine seismic exploration for decreased crossline bin-size leading to better spatial resolution. a triple-source configuration can find its application in shallow and deeper water areas for imaging of targets where reduced crossline spacing and higher fold may be required | |
| On Demand | Improved Rock Property Estimation from Joint Inversion of PP and PS Reflectivities E-Lecture Recording | Ivan Lehocki | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture: "improved rock property estimation from joint inversion of pp and ps reflectivities". the objective of this work was to develop a method for joint inversion of pp and ps data with the goal of unique and accurate determination of important layer parameters, namely y1 and y2 ratios. the method also gives reliable estimates of density ratio, a parameter that can be directly linked to hydrocarbon saturations. the usage of the method is limited to the assumptions used in the derivation of zoeppritz’s equations, i.e. interface of two horizontal, homogeneous, isotropic, elastic layers. what is new? easy to understand approach for inversion of all four elastic parameters entering zoeppritz equations. | |
| On Demand | Sedimentology and Reservoir Properties of Chalk Student E-Lecture Recording | John D. Humphrey | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | this eage student e-lecture discusses general sedimentological characteristics of chalks and their potential as both conventional and unconventional hydrocarbon reservoirs. the principal focus is on the controls on sedimentation of these economically significant, fine-grained pelagic carbonate rocks. | |
| On Demand | Giant Regional Play Fairways from Modern Seismic Data - part 2 E-Lecture Recording | Neil Hodgson and Karyna Rodriguez | Geology | Structural Geology | E-Lecture Recording | On Demand | On Demand | EAGE | second part of the e-lecture “giant play fairways are play fairways for giants”. recent developments in exploration ideas: imaging pre-salt syn-rift clastics in gabon to inorganic carbonate deposition in the santos basin of brazil, from basin floor contourite – turbidite mixed clastic systems of the south atlantic, isolated carbonate build-ups in somalia and guyana, conjugate margins drawn together and understood in a dynamic topography framework, and illustrated with modern seismic examples. | |
| On Demand | Giant Regional Play Fairways from Modern Seismic Data - part 1 E-Lecture Recording | Neil Hodgson and Karyna Rodriguez | Geology | Structural Geology | E-Lecture Recording | On Demand | On Demand | EAGE | first part of the e-lecture “giant play fairways are play fairways for giants”. recent developments in exploration ideas: imaging pre-salt syn-rift clastics in gabon to inorganic carbonate deposition in the santos basin of brazil, from basin floor contourite – turbidite mixed clastic systems of the south atlantic, isolated carbonate build-ups in somalia and guyana, conjugate margins drawn together and understood in a dynamic topography framework, and illustrated with modern seismic examples. | |
| On Demand | Exploration Discoveries and Future Trends E-Lecture Recording | Andrew Latham | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | the oil and gas exploration industry has fixed its broken economics and emerged from the recent oil price downturn in good health. but the industry is now much smaller, with fewer companies drilling fewer wells. new field volumes discovered have fallen to 70-year lows. new plays and frontiers are often at the heart of the improved profitability. companies that are prepared to take greater exploration risks are reaping greater rewards. this e-lecture reviews some of the most important new discoveries behind these trends, and considers the future outlook for the sector. | |
| On Demand | Using Digital Music Technology for Geophysical Data Analysis and Interpretation E-Lecture Recording | Paolo Dell'Aversana | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture dell’aversana discusses how digital music technology can support geophysical data analysis and interpretation: we apply accurate mathematical transforms for extracting the spectrograms of geophysical data, such as seismic, electromagnetic and gravity data, well logs and so forth. then, the spectrograms are translated into sounds in standard musical formats and are imported into a software platform of digital music. we apply two complementary workflows to our converted “geo-musical” data: first, we use musical pattern recognition algorithms for automatic data mining and classification; second, we use interactive audio-video display in selected portions of the data set for allowing multisensory perception and advanced cognition. during the e-lecture we introduce the fundamentals of the approach. finally we show some applications to real data. | |
| On Demand | Maximising the Benefits of Full Waveform Inversion E-Lecture Recording | Fabio Mancini | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | full-waveform inversion relies on accurate starting models to avoid local minima. we remove this reliance by solving an augmented wave equation, designed to fit the data as well as the physics, in combination with imposing constraints. as a result we end up with an inversion scheme that produces good results in situations where conventional full-waveform inversion is known to fail. | |
| On Demand | A New Take On FWI: Wavefield-Reconstruction Inversion E-Lecture Recording | Felix Herrmann | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | full-waveform inversion relies on accurate starting models to avoid local minima. we remove this reliance by solving an augmented wave equation, designed to fit the data as well as the physics, in combination with imposing constraints. as a result we end up with an inversion scheme that produces good results in situations where conventional full-waveform inversion is known to fail. did you like this e-lecture? learn here how to request a webinar with felix herrmann. | |
| On Demand | Seismic Spatial Gradient Measurements E-Lecture Recording | Nihed el Allouche | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | rotation measurements have found applications in various fields of geophysics ranging from near-surface archaeological mapping to large scale upper mantle tomographic inversion. in the absence of a cost-effective sensor sensitive over the typical seismic frequency bandwidth, rotation measurement can be approximated by finite-differencing the response of the vertical particle velocity over a short distance. accurate estimates of the horizontal gradient of the vertical wavefield can be obtained when perturbations associated with the measurement are minimised. these perturbations can be sensor related, for example geophone sensitivity and natural frequency, and/or deployment related such as tilt and coupling errors. in this e-lecture, we show how perturbations can affect the gradient measurement (the tilt error turns out to be dominant) and discuss the minimum receiver spacing required to avoid the impact of perturbations dominating the gradient estimates. we also discuss a “sensitivity” chart ranking the perturbations according to impact and indicate which one of these needs to be minimised in order to obtain reliable gradient estimates. | |
| On Demand | A 2nd-order Adjoint Truncated Newton Approach to Time-domain Multiparameter Full Waveform Inversion in Viscoacoustic Medium E-Lecture Recording | Pegliang Yang | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture introduces a 2nd-order adjoint truncated newton approach to time-domain multiparameter full waveform inversion in viscoacoustic medium. a truncated newton method for time-domain full waveform inversion in visco-acoustic medium is developed using 2nd-order adjoint state formulation. time-domain gradient and hessian-vector product are built by recomputing the incident and adjoint wavefields. after the design of an efficient preconditioner, the importance of the inverse hessian for mitigating inter-parameter trade-off is validated on a toy example. a realistic 2d synthetic mimicking north-sea real data application demonstrates that considering hessian influence significantly improves the multi-parameter reconstruction, for a reasonable increase of the computational cost compared to standard quasi-newton method. | |
| On Demand | Theory for Marchenko Imaging of Marine Seismic Data with Free Surface Multiple Elimination E-Lecture Recording | Evert Slob | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture: theory for marchenko imaging of marine seismic data with free surface multiple elimination; introduces the theory for reflector imaging from marine seismic data that include ghosts, free surface and internal multiple reflections. first, we look at building the necessary redatuming operators from the data when the free surface would not be present. the redatuming operators are found as the focusing functions that are not influenced by the presence or absence of the free surface. next, a matrix equation is found from which the focusing functions are computed using the measured data decomposition into up- and downgoing waves. no other processing steps are required. the scheme does not need information about the source time signature or the actual character of the free surface. a macro-model is necessary to construct an estimate of the direct part of the focusing function. the ghost, free surface and internal multiple reflections do not create false images and an artefact free image is obtained. | |
| On Demand | Virtual Seismology: monitoring the subsurface with virtual sources and receivers E-Lecture Recording | Kees Wapenaar | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture introduces virtual seismology: monitoring the subsurface with virtual sources and receivers, which is a new methodology to create virtual sources and virtual receivers in the subsurface from reflection measurements at the earth's surface. unlike in seismic interferometry, no physical instrument (receiver or source) is needed at the position of the virtual source or receiver. moreover, no detailed knowledge of the subsurface parameters and structures is required: a smooth velocity model suffices. yet, the responses to the virtual sources, observed by the virtual receivers, fully account for multiple scattering. this method is not only useful for reflection imaging but is has also large potential for monitoring induced seismicity, characterizing the source properties and forecasting the response to potential future induced earthquakes. this will be demonstrated with numerical models and preliminary real-data results. | |
| On Demand | Chalk Porosity and Diagenesis Student E-Lecture Recording | John D. Humphrey | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | this eage e-lecture discusses diagenesis (post-depositional modification) of chalks and its effect on porosity evolution and reservoir quality. the principal focus is on the physical and chemical processes, as a function of burial, that alter these economically significant, fine-grained pelagic carbonate rocks. | |
| On Demand | Bedrock and Fracture Zone Delineation Using Different Near-Surface Seismic Sources E-Lecture Recording | Bojan Brodic | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture "bedrock and fracture zone delineation using different near-surface seismic sources" discusses a seismic survey conducted using four different small-scale and inexpensive seismic sources to delineate bedrock surface and a fracture zone intersected by a well at c. 50 m depth. the seismic sources analyzed are a 5-kg sledgehammer, a metal i-beam struck laterally, an accelerated weight drop and a prototype em based seismic source with two hammers striking successively at an adjustable impact rate. from the recording perspective, a high-fold (star-type) acquisition spread was designed combining a three-component microelectro-mechanical system (mems) seismic landstreamer and wireless seismic recorders. the performance of every source used is analyzed and reflection seismic sections, along with 3d tomography results shown. the results indicate well delineated undulating bedrock topography, both on tomography and seismic sections for all sources. weak reflectivity is observed where the fracture zone is expected. most of the sources used show similar potential for fracture zone and near-surface imaging and star-type seismic array used enables 3d overview of the shallow subsurface and potential for pseudo 3d reflection seismic processing. | |
| On Demand | Characterization of Holocene Sediments Using Geophysical Methods and Borehole Information: Ebro Delta (Spain) E-Lecture Recording | Beatriz Benjumea | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | beatriz benjumea shows the integration of geophysical and borehole information to characterize holocene sediments in the ebro delta (spain). nowadays, this delta coastline is retreating landward due to a combination of sediment subsidence, sea level rise and sediment deficit caused by river damming. measuring spatial changes of near-surface sediment facies is critical to evaluate subsidence. in this presentation, geophysical patterns that help to characterize the holocene sequence are extracted from borehole and geophysical information at two test sites. the applied methods are: active and passive seismic and electrical resistivity tomography (ert). these patterns are then used in an extended survey along the delta with the following targets: to discriminate between surficial sediments facies, to detect the top of the prodelta marine clays and finally to image the base of the holocene delta. | |
| On Demand | GeoBIM for Infrastructure Planning E-Lecture Recording | Mats Svensson | Engineering | Petroleum Engineering | E-Lecture Recording | On Demand | On Demand | EAGE | eage e-lecture: geobim for infrastructure planning by mats svensson. this e-lecture aims at bridging the gap between the deliveries from geophysicists to the infrastructure industry, so that the results from geophysics are used in the best possible way. the key to this is proper communication. for this we all need to know who all the stakeholders are and what interests, what skills and which tools do they have, and we also need to improve the tools we use. this e-lecture is trying to clarify those issues and also suggesting the powerful geobim concept to handle both data, models and communication, exemplified by a large railway project in sweden. | |
| On Demand | Reducing project turnaround by optimizing the model building workflow using full-waveform inversion and reflection tomography: A North Sea case study E-Lecture Recording | Shruti Gupta | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | two of the key challenges for velocity model building in the north sea are a heterogeneous overburden (for example, the presence of fluvial and sub-glacial channels) and the presence of strong velocity contrasts (most often introduced by a chalk layer). two model building techniques have been developed in recent years which address these challenges. full-waveform inversion (fwi) has been shown to be highly effective in resolving overburden heterogeneity and multi-layer tomography allows us to preserve sharp contrasts in our velocity models. in this eage e-lecture, we present how the combination of these two techniques provides an effective and efficient model building workflow for the north sea environment. | |
| On Demand | An Iterative Workflow for Facies Modeling on the Alvheim Field, Norwegian Continental Shelf E-Lecture Recording | Andor Hjellbakk | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture, andor hjellbakk will take you through some simple but effective principles for building a deterministic facies model for the deep-marine deposited tertiary reservoir of the aker bp operated alvheim field. the facies modeling workflow is combining state-of-the-art modeling techniques with input data from 100 km of penetrated reservoir, spectral decomposition (seismic) data and impedance data. further, the datasets from the subsurface is linked to observations from outcrop data to make sure realistic depositional trends and dimensional data are used in the modeling process. | |
| On Demand | Efficient 3D Frequency-Domain FWI of OBC Data E-Lecture Recording | Stéphane Operto | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | wide-azimuth long-offset obc/obn surveys provide a suitable framework to perform computationally-efficient 3d frequency-domain full waveform inversion (fwi) with a few discrete frequencies. frequency-domain seismic modeling is performed efficiently with moderate computational resources for a large number of seismic sources with the sparse multifrontal direct solver mumps. the relevance and the computational efficiency of the frequency-domain fwi performed in the visco-acoustic vti approximation is shown with a real 3d obc case study from the north sea. the subsurface models built by fwi show a dramatic resolution improvement relative to the initial model built by reflection traveltime tomography down to the base cretaceous reflector below the reservoir level. the relevance of the fwi model is assessed by frequency-domain and time-domain seismic modellings and source wavelet estimation, which might reveal the footprint of attenuation on the imaging results. | |
| On Demand | A Novel Source-Over-Cable Solution to Address the Barents Sea Imaging Challenges E-Lecture Recording | Per Eivind Dhelie | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | this eage e-lecture "a novel source-over-cable solution to address the barents sea imaging challenges " presents a full overview of the topseis source-over-cable solution. the challenging geologic setting in the barents sea is discussed and legacy seismic data is scrutinized in an effort to understand the fundamental challenges related to improved seismic imaging in the barents sea. the acquisition design behind the new technology is presented in detail, from the wide-towed small triple source setup to the split-spread deep towed streamers. deblending of triple sources is presented as well as a detailed overview of the challenging demultiple problem. a number of seismic image comparisons are also presented illustrating the benefit achieved with the new source-over-cable solution. the final part of the talk looks into the future and proposes possible solutions to obtaining similar acquisition setups, but using only a single vessel towing both the sources and the streamers. | |
| On Demand | Seismic Interpretation with Deep Learning E-Lecture Recording | Anders U. Waldeland | Data Science | Machine Learning | E-Lecture Recording | On Demand | On Demand | EAGE | how and why can deep learning be used for seismic interpretation? the machine learning technique called deep learning is revolutionizing the field of computer vision. a central part of deep learning is convolutional neural networks (cnn). this e-lecture gives a simple and intuitive introduction to cnns in the context of seismic interpretation. | |
| On Demand | Shooting over the Spread E-Lecture Recording | Vetle Vinje | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | in this lecture, i present the motivation, the evolution and the benefits of a new marine acquisition concept developed in close cooperation between lundin and cgg over the last few years. we call the concept topseis. it addresses the lack of near-offset data recorded in conventional towed-streamer acquisition by enabling the recording of short- and zero-offset data with the seismic sources located above the streamers. in addition, topseis significantly increases the illumination density (number of times a specific depth point is recorded) for both shallow and deep targets. this benefits imaging, avo and inversion as shown by several synthetic and real examples. | |
| On Demand | Microseismic Monitoring of a Tight Light Oil Reservoir Student E-Lecture Recording | John Duhault | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | this fundamentals e-lecture investigates the effectiveness of hydraulic-fracturing completions in a tight-oil play in canada by illustrating detailed examples of the passively recorded microseismicity. the case history format enables an easy to follow interpretation on the inference of fracture wing length, height and azimuth based on event distribution on several projects. the distribution of microseismicity further shows that isolated event clusters of out-of-zone events are interpreted to have occurred on unpropped fractures. slickwater fracturing fluids, in comparison to gelled oil or foamed water, are shown to produce more diffuse and scattered microseismic expression and a higher cumulative oil production. the results of these studies indicate the value that microseismic imaging of horizontal multistage fracturing wells has on guiding future oil field development, especially in maximizing estimated ultimate recovery (eur). | |
| On Demand | Seismic Facies Classification Using Multimedia and Machine Learning E-Lecture Recording | Paolo Dell'Aversana | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | paolo dell’aversana*1, gianluca gabbriellini1, gabriela carrasquero1, alfonso amendola1, alfonso iunio marini1 1eni s.p.a. upstream and technical services as it happens for natural intelligence, also artificial intelligence can be improved if it is able to analyze and interpret multimodal information. in this e-lecture, we show that training a computer with multimodal data, increases the possibility of seismic facies classification through machine learning algorithms. we use a new class of attributes in geophysics, representing ‘musical’ properties implicitly included in the data. together with traditional geophysical attributes, our multimedia machine learning system uses also melodic, harmonic and rhythmic patterns extracted from the data. all these new features show high classification power. in particular, they allow distinguishing low-gas from high-gas saturated sands, as showed in the real example discussed in this lecture. | |
| On Demand | How to store CO2 underground Student E-Lecture Recording | Philip Ringrose | Energy Transition | Energy Transition | E-Lecture Recording | On Demand | On Demand | EAGE | in this eage student e-lecture: phil ringrose from ntnu and equinor in norway gives an overview of co2 storage technology using insights from early-mover projects. | |
| On Demand | The Effect of Shale Activation on the 4D Seismic Interpretation of a UKCS Field E-Lecture Recording | Ricardo Rangel | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture, ricardo rangel talks about 'the effect of shale activation on the 4d seismic interpretation of a ukcs field'. he will present a case study and then go into more depth about simulation results, as well as seismic modelling and 4d seismic response | |
| On Demand | The Importance of Overburden Stress Path in Assessment of Stress Dependence for 4D Applications E-Lecture Recording | Rune M. Holt | Reservoir Characterization | Geomechanics | E-Lecture Recording | On Demand | On Demand | EAGE | the importance of overburden stress path in assessment of stress dependence for 4d applications. in time-lapse (4d) seismic, slow-down in the overburden is often seen as a footprint of depletion in subsurface reservoirs. the work presented in this lecture has demonstrated that for stress changes around the in situ stress, laboratory measured stress and strain sensitivity of a field shale core depends strongly on the stress path. translated to the field, the stress path describes how horizontal stress varies with changes in the vertical stress when stress arching occurs above a depleted (or inflated) site. geomechanical simulations are needed in order to identify the correct in situ stress path for each specific field situation, but 4d data may also provide guidelines towards the identification of the overburden stress path. | |
| On Demand | Combining Machine Learning and Musical Attributes for Seismic Facies Classification Student E-Lecture Recording | Paolo Dell'Aversana | Data Science | Machine Learning | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture we introduce a comprehensive approach of automatic classification and interpretation of geophysical data based on machine learning and digital music technology. the methodology consists of two main steps. first, we convert geophysical data into midi files (musical instrument digital interface). then, we extract midi features from the converted data. these “musical features” are finally used as complementary attributes for data classification through machine learning approaches. after introducing the basic methodological aspects, we discuss examples and applications to real geophysical data. | |
| On Demand | A Misfit Function Based on an Optimal Transport Distance for FWI E-Lecture Recording | Ludovic Métivier | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in the field of seismic imaging, full waveform inversion has become one of the key techniques to provide high resolution quantitative estimation of subsurface mechanical parameters such as wave velocities, density, attenuation, or anisotropy parameters. recent success stories have led both the academy and industry to investigate this technique. its applicability is however still limited for exploration targets, mostly because of the lack of low frequencies in the data which makes it difficult to correctly interpret the kinematic attributes of the wavefield. mitigating this issue is the motivation of the work proposed in this presentation. the strategy we present uses a new distance function between observed and calculated data, based on the optimal transport theory. this new distance provides a more convex misfit function: we show on several synthetic examples how this could help to make full waveform inversion a more robust and powerful tool. | |
| On Demand | Marine CSEM - Understand the quintessence Student E-Lecture Recording | Ludovic Peignard | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | understanding marine controlled source electromagnetics (mcsem), how it works and on what that relies is not that obvious due to multiple physical phenomena at stake (geometric, inductive and galvanic). in this e-lecture, ludovic peignard explains simply how electromagnetic waves are affected when diffusing in the subsurface with a very light content of theory. the idea is to put you on track to subsequently look at mcsem in more depth. | |
| On Demand | Simulating Correlated Discrete Fracture Networks constrained by Microseismic Data E-Lecture Recording | François Bonneau | Reservoir Characterization | Geomechanics | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture presents a workflow to simulate correlated discrete fracture networks (dfn) constrained by statistics and microseismic data. we investigate the possibility to analyze microseismic data using the 3d hough transform and to constraint the discrete fracture network simulation. then, we detail a sequential pseudo-genetic dfn simulation workflow that produces a hierachical dfn. it uses mechanical proxies inspired from mechanics to sample parameter distribution laws and to efficiently organize simulated fractures in space. this work has been funded by the ring consortium (https://www.ring-team.org). | |
| On Demand | ‘Online’ Marchenko Focusing and Target-oriented Modeling E-Lecture Recording | Patrick Elison | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | with the marchenko method one can derive an incident wavefield (a so-called focusing function) that focuses at an arbitrary location inside a medium and subsequently continues as a diverging wavefield. this is often denoted as creating "virtual sources” inside a medium. in this talk you will learn how such a focusing function can be obtained by iteratively sending a wavefield into a medium and simultaneously recording its reflection response. this requires control over densely sampled sources and receivers at the surface of an object in combination with an a-priory known smooth velocity model. further, this talk teaches you how the result of the marchenko scheme can be used for target-oriented seismic modeling, which is of use for localized inversion and time-lapse reservoir monitoring. | |
| On Demand | Viscoelastic Full Waveform Inversion; a Symmetrization Strategy E-Lecture Recording | Gabriel Fabien-Ouellet | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | seismic propagation may exhibit very complex physics, especially on land where elastic and attenuation are dominating effects. in this context, full waveform inversion (fwi) must move from the acoustic approximation to the more challenging viscoelastic wave equation. in this video, gabriel fabien-ouellet explains the theory behind viscoelastic full waveform inversion. using a symmetrization transformation of the problem, he shows how the adjoint state method can be modified to simplify the numerical implementation of viscoelastic fwi, and then presents the main challenges of inverting for attenuation. | |
| On Demand | Integrated Geophysics and New Methods for Multi-nodal Data Analysis E-Lecture Recording | Paolo Dell' Aversana | Geophysics | Integrated Geophysics | E-Lecture Recording | On Demand | On Demand | EAGE | the central subject of this e-lecture is the concept of “expanded integration”. this involves all the key aspects of the process of integration of geophysical and geological data. in fact, expanded integration includes combination of multi-physical, multi-scale, multi-domain and multi-sensory (images and sounds) information. this comprehensive approach is performed using new methods of data analysis. these are called “brain based technologies” because they take into account the key aspects of “high-level” human cognition, such as integrated perception, data fusion, imaging, mapping, combination of multi-sensory inputs and pattern recognition. | |
| On Demand | One 4D Geomechanical Model - and it's Many Applications E-Lecture Recording | Jorg Herwanger | Reservoir Characterization | Geomechanics | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture is a worked case-study in applied oilfield geomechanics: it introduces the elements of a geomechanical model, covers aspects of geomechanical model building and calibration, and works through three applications of the geomechancial model in support of operational decisions. the geomechanical applications presented by jorg include wellbore stability for drilling an inclined infill well, risk of fault re-activation during gas reinjection and fracture containment in individual reservoirs during hydraulic stimulation. | |
| On Demand | Q-Compensation Through Depth Domain Inversion E-Lecture Recording | Maud Cavalca | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | compensation for seismic attenuation inherent to the dissipative and dispersive nature of the earth remains a challenge in seismic imaging of complex media. in this e-lecture, maud cavalca briefly reviews various deterministic approaches that tackle the problem, and focuses on a scheme that compensates for q within depth domain inversion. she shows that this type of approach constitutes a viable and efficient alternative to ‘q-migration’ techniques that attempt at compensating for q during migration. | |
| On Demand | Automatic Gas Pockets Detection by High Resolution Volumetric Q-Tomography Using Accureate Frequency Peak Estimation E-Lecture Recording | Fatiha Gamar | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture, fatiha gamar explains how a high-resolution volumetric q tomography can be developed to attain an accurate volumetric estimation of the attenuation model. a key component of the workflow is the estimation of effective attenuation in the pre-stack data domain through accurate picking of the frequency peak. finally she presents a case study where this approach has been used to reveal shallow gas pockets and compensate for absorption in the migration. | |
| On Demand | Subsalt Time-Lapse Seismic for Reservoir Monitoring Using i4D in Deepwater E-Lecture Recording | David Chalenski | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | david chalenski presents a case study using a low-cost but high-data-quality seismic technique to monitor a waterflooded field. this technique, termed i4d, utilizes simple planning methods to decimate a source and nodal receiver patch from a previous full-field survey to monitor the area around a high-risk, high-yield well (such as a water injector) with high accuracy and confidence. he demonstrates that nodal surveys can be targeted even in a highly complex sub-salt field. if planned appropriately, expected data quality is equivalent to a full-field nodal survey. he shows the 4d results and presents business decisions which were influenced using the results of this survey. | |
| On Demand | Cognition and Seismic Interpretation Student E-Lecture Recording | Gaynor Paton | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | seismic interpretation involves high level cognitive processes in order to understand the information that is contained within the seismic data. in this e-lecture, gaynor paton looks at the cognitive processes involved in converting data into understanding, and how we can work in a manner that maximises our cognitive abilities. working in a way that is cognitively intuitive will reduce the effects of cognitive overload and give us more insight into the subsurface. | |
| On Demand | An Analytical Approach to Hydraulic Fracturing Student E-Lecture Recording | John Duhault | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture john l.j. duhault discusses the 15 things you should consider as part of a checklist to determine whether “to monitor or not to monitor” your project well operations while hydraulically fracturing, injecting into or depleting an oil or gas reservoir. | |
| On Demand | The Startup of Permanent Reservoir Monitoring for Snorre and Grane E-Lecture Recording | Mark Thompson | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | statoil has supported the development of geophysical reservoir monitoring (grm) techniques, and through a focused seismic monitoring (fsm) project, successfully piloted permanent reservoir monitoring (prm) technologies. in this e-lecture, mark thompson tells that this experience culminated in the implementation of two prm projects at the snorre and grane licenses. in december 2012, statoil awarded a contract to manufacture and deliver approximately 700 kms of seismic cable for prm installations, representing the largest prm installation to date. by october 2014, two full prm systems had been installed with first seismic acquired at both grane and snorre, and a second survey underway at snorre. in less than two years a major prm project had been successfully executed and first seismic acquired. | |
| On Demand | Chasing Channel Sands Student E-Lecture Recording | Peter Lloyd | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | with technical advances in surface seismic and downhole electrical imaging techniques, it is now possible to not only map the distribution of reservoir sandstones in the subsurface, but to accurately define the orientation of productive fairways, or “sweet-spots”, within the sequence. channel sands frequently have favourable reservoir characteristics. having often been laid down in higher energy settings, they commonly have coarser and better sorted grains, less clay and improved poroperm characteristics. however, they often have limited lateral extent and shoe-string geometries which make them more difficult to predict in the subsurface. in this presentation, peter lloyd will summarize the results of four case studies of how channel sands, laid down in different depositional settings, have been recognized with borehole imaging in exploration, appraisal and development settings. from sedimentary features and palaeocurrent directions within the sands it has been possible to determine their orientation and evolve improved exploration and development strategies. further complexities in reservoir characterization, caused by thin beds or bioturbation; and how these effects can be recognized on the images, and quantified using other electric log data, will be discussed. | |
| On Demand | An Introduction to Migration without a Single Equation E-Lecture Recording | Claudio Strobbia | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture is a primer on seismic migration: it introduces the principles of imaging, the assumptions and limitation, the artefacts. it discusses also the differences between time and depth migration, and examines the requirements of the simple time migration. claudio strobbia here explains these concepts in an easy and understandable way, with lots of illustrations and animations, and without a single equation. a simple and entertaining initiation to seismic imaging. | |
| On Demand | Barents Sea Case Study: Integrated Depth Velocity Model Building E-Lecture Recording | Marit Guttormsen | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture, marit guttormsen presents the results of a 3d obs dataset acquired in the barents sea. the result was a significant uplift in the structural image by imaging the pressure energy converted to shear energy (ps). in order to achieve the image an integrated velocity model building (vmb) flow, using several datasets and a variety of techniques, was implemented. the lecture attempts to summarize the key steps in such an integrated vmb workflow. | |
| On Demand | A Tutorial on Gassmann’s Fluid Substitutions Student E-Lecture Recording | Pierre-Olivier Lys | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | gassmann's equations are widely used in the industry to address the fluid substitution problem during seismic reservoir characterization. in this e-lecture, pierre-olivier lys shows how to use gassmann's equations properly, by explaining the fundamental assumptions that should be met, and by applying the gassmann's methodology in a step-by-step example. | |
| On Demand | Frequency Decomposition of Seismic Data Student E-Lecture Recording | Gaynor Paton | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | eage student e-lecture: frequency decomposition of seismic data by gaynor paton frequency decomposition and rgb blending are commonly used to aid seismic interpretation. this lecture looks at the three main methods of frequency decomposition and discusses the relative advantages of each technique. it also covers some short case studies showing how the correct technique should be used depending on the interpretation objective. the lecture also covers rgb blending and how this can be used to understand and interpret the frequency response volumes. | |
| On Demand | Sub-Salt modelling in 3D – Integration of Seismic, Well and Gravity Data, Validated by Drilling E-Lecture Recording | Antony Price | Geophysics | Integrated Geophysics | E-Lecture Recording | On Demand | On Demand | EAGE | offshore sub-salt seismic imaging along the west african margin is a challenge in many areas, and with complex salt geometry, seismic depth imaging alone faces certain limitations. in an effort to further de-risk structures sub-salt, antony price et al. integrated with gravity data in 3d. they detail that the incorporation of an independent geophysical parameter, such as density can effectively de-risk these difficult targets. coincident gravity anomalies and seismic base salt closures were observed in this locality. the gravity anomalies are larger in amplitude and not equivalent to any possible post-salt structure, independent of density. in short, the scenario 3d gravity modelling suggests that these are indeed sub-salt structures, most likely localized basement or some other high density closures - which is consistent with the seismic imaging. | |
| On Demand | Well Tie: Principles and New Advancements for Broadband Seismic Data E-Lecture Recording | Ehsan Naeini | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | in this presentation, naeini discusses a quantitative approach to do well tie and to qc the outcome. this covers the basic principles all the way to the latest developments for broadband seismic data. he shows some synthetic and real data examples and highlights the impact of time lag, phase, bandwidth and broadband wavelets for broadband seismic. | |
| On Demand | Wave-Equation-Based AVO Inversion for High-Resolution Reservoir Characterisation E-Lecture Recording | Dries Gisolf | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | wave-equation-based avo inversion aims at getting high-resolution property models from seismic data. these property models should allow the building of reservoir models and the estimation of reserves. wave-equation-based avo inversion fully utilises the non-linear relationship between seismic data and the properties to be inverted for, leading to a wider spatial bandwidth than could be expected on the basis of the temporal bandwidth of the data. also, it inverts directly for elastic parameters, giving a higher sensitivity to pore-fill than conventional impedances. | |
| On Demand | Applied AVO E-Lecture Recording | Anthony Fogg | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | avo (amplitude versus offset) analysis is a method many geoscientists may be aware of, but they perhaps do not know how the techniques are implemented and the best way to apply the technology. this e-lecture introduces the basics of the avo theory and how it is used to create attributes from seismic reflection data that reveal the underlying rock and fluid characteristics of the sub-surface. it uses synthetic models to demonstrate the importance of velocities and migration algorithms in obtaining the optimum seismic image for avo and subsequent pre-stack seismic inversion analysis. | |
| On Demand | Understanding Spectral Decomposition E-Lecture Recording | Victor Aarre | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | spectral decomposition is a standard tool in the seismic interpreters toolbox. it is also a complex tool to use. many implementations are provided as “black box” technology by vendors, and presented results are often spectacular. the scope of this lecture is hence to give the viewers a thorough scientific understanding of what spectral decomposition is, outline how it works, and explain what it can and cannot do. it has been an aim to keep the mathematical terminology simple, and properly explain the terms as they are introduced, such that the content becomes more accessible for an audience outside the hard-core mathematical community. | |
| On Demand | 3D Inversion of Magnetic Data Affected by Remanent Magnetization E-Lecture Recording | Yaoguo Li | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | the inversion of magnetic data in the presence of strong remanent magnetization has long been a challenging problem, because of the unknown direction of the total magnetization that is the vector sum of the induced and remanent components. this e-lecture presents three different techniques for tackling this problem: (1) direction estimation, (2) amplitude inversion, and (3) fuzzy c-means clustering magnetization inversion. combined with the existing susceptibility inversion, these techniques form a tool kit that allows one to invert virtually any magnetic data set for the purpose of quantitative interpretation in exploration applications. in particular, the magnetization inversion provides a new opportunity both for imaging source configurations and for carrying out geology differentiation. | |
| On Demand | Wide-Azimuth Acquisition with Radial Domain Interpolation for Fluvial Morphology Interpretation E-Lecture Recording | Anastasia Poole | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | the topic of anastasia poole’s e-lecture is wide-azimuth acquisition with radial domain interpolation for fluvial morphology interpretation. during this presentation she will demonstrate how an integrated approach helps to unlock the fluvial morphology reservoir potential using seismic. poole will cover the following topics: reservoir geology and economics evaluation, seismic survey design, seismic acquisition, processing and she will finish off with examples of inversion and interpretation. key technologies discussed in this presentation are: point-source point-receiver full azimuth/broad band acquisition, azimuth aware processing with radial domain interpolation to enable advanced seismic interpretation and rock properties extraction. | |
| On Demand | Seismic Multiple Removal Techniques: Past, Present and Future E-Lecture Recording | Eric Verschuur | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | eric verschuur offers a short version of his eet 1 tour, explaining how multiple reflections influence seismic measurements. an overview is provided of the techniques that were developed to remove them, from the (high-resolution) parabolic radon transform to the full 3d srme technique of today. he also discusses the extension to internal multiples and, finally, looks into the future, where multiples could be used as signal in imaging procedures. learn more about the eet programme. | |
| On Demand | Impact of Acquisition Geometry on AVO/AVOA Attributes Quality E-Lecture Recording | Amine Ourabah | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | with hydrocarbon exploration moving to more complex plays, understanding the resolution limits of seismic imaging and attributes is more important than ever, especially with the availability of new acquisition methods like iss® and dsss allowing acquisition of very high density surveys at a reduced cost. questions as: ‘what are the benefits of acquiring dense surveys, how do they impact the frequencies, avo/avao attributes’ can be difficult to answer and yet have a significant impact on cost, quality and decision making. attempts to answer some of these questions using the theory of resolution or synthetic modelling are available. however, we rarely have the opportunity to see the effect of decimating a real dataset on a full range of conventional and azimuthal attributes. in this study we are decimating the risha high density survey to 20 different geometries. each one of these geometries were then separately processed and an extensive list of pre-stack conventional and azimuthal attributes were extracted on them. by analysing and comparing these products, we attempt to answer the above questions, using the densest geometry as a benchmark for quality. | |
| On Demand | Seismic Screening for Hydrocarbon Prospects Using Rock-Physics Attributes E-Lecture Recording | Per Avseth | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | a methodology to create easy-to-implement rock-physics attributes that can be used to screen for reservoir sandstones and hydrocarbon pore fill from seismic inversion data is demonstrated. we have honored the physical properties of the rocks by defining attributes that complied with calibrated rock-physics models, including the fluid and rock impedances. we have demonstrated the use of these attributes on well log and seismic inversion data from the norwegian sea, and we successfully screened out reservoir rocks filled with either water or hydrocarbons. this video is part of eage online education programme. the european association of geoscientists and engineers (eage) is a global professional, non-profit association for geoscientists and engineers. eage strives to promote innovation and technical progress and aims to foster communication and cooperation between those working in, studying or interested in these fields. to learn more about eage education visit www.learninggeoscience.org the contents introduced in this e-lecture are part of a comprehensive course offered by per avseth via eage. consult our calendar of events to learn about the upcoming deliveries of request it for in-house training! | |
| On Demand | Quantitative 4D Analysis Using Business Analytics E-Lecture Recording | Mark Thompson | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in geophysical reservoir monitoring (grm) seismic data, reservoir data, production data, and borehole data must be integrated to get an understanding of what is going on in the reservoir over time. the information used in grm is a typical example of big data, as it can be characterized by volume, velocity, and variety. the learnings of big data from other industries have been leveraged and applied to quantitative analysis in grm. did you like this video? you can request a webinar with mark thompson to learn more | |
| On Demand | Multi-Azimuth Streamer Seismic in The Nile Delta: Depth Imaging E-Lecture Recording | Walter Rietveld | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | bp has been acquiring multi-azimuth (maz) streamer seismic in the nile delta since 2003. the initial results showed that maz data greatly improves general image quality, signal-to-noise ratio and lateral resolution, and suppresses diffracted multiples effectively. e-lecture part 1 discusses the reasons why maz was selected and discusses the first results after time processing and pstm imaging. e-lecture part 2 discusses the workflow that combines the maz data in a multi-parameter reflection tomography approach to build a detailed velocity model that shows variations which correspond very well to the geology interpreted from the seismic, and which yields improved psdm images. the results and learnings from both presentations are relevant and applicable to wide-azimuth acquisition and processing in general. | |
| On Demand | Geological Well Testing in Fractured Reservoirs E-Lecture Recording | Patrick Corbett | Geology | Geological Modeling | E-Lecture Recording | On Demand | On Demand | EAGE | in this contribution we consider synthetic well test responses generated through numerical simulation of a model derived from an outcrop-based fault/fracture geometry. we consider how the well might connect with the fractures to help understand relationships between the different fracture well test responses. | |
| On Demand | The Art of Science E-Lecture Recording | Roel Snieder | Training and Development | Soft Skills | E-Lecture Recording | On Demand | On Demand | EAGE | this video gives a brief overview of the eage course “the art of science.” this class gives general professional skills needed to be effective and successful in research. these skills include generating research questions, creating a work plan, scientific publishing, oral and written communication, time management and many other topics. | |
| On Demand | Seismic Anisotropy in Shaly Formations…Revisited E-Lecture Recording | Patrick N.J. Rasolofosaon | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | seismic anisotropy, that is to say the directional dependence of seismic velocity, is quite common in sedimentary formations and is often linked to the presence of shale. if not correctly taken into account it can strongly affect surface seismic data interpretation, seismic to well tie and azimuth versus offset analysis. from the analysis of two large databases of up to 800 ‘shaly’ samples in a broad sense, including shales but also mudshale, clayshale, siltstone, argillite, claystone, siltshale, mudstone, we demonstrate that seismic anisotropy in such formations is to a large extent determined by factors other than compaction processes, such as depositional environment, chemical composition of fluid, silt fraction, etc. furthermore, the alignment of the individual clay platelets, main constituents of shales, can explain most of the anisotropy measurements of the databases. assuming the elastic properties of the individual clay platelets, we propose simple plots for straightforwardly quantifying the legendre orientation distribution function coefficients and of the clay platelet alignment from the measurement of seismic anisotropy parameters. | |
| On Demand | Seismic Characterization of Shallow Gas in The Netherlands E-Lecture Recording | Mijke van den Boogaard | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | the cenozoic in the dutch offshore is known to host abundant shallow amplitude anomalies related to hydrocarbons. the netherlands is the first country in the north sea area in which shallow gas is developed and has proven to be a valuable resource. amongst 3 successfully producing fields and 5 additional proven accumulations, ebn has identified more than 150 leads from seismic data (bright spots). in terms of volumes several of those leads are expected to rank economically. the success of the producing fields, initial volumes, and the large availability of 3d seismic data has contributed to an increased interest from the industry. the work that is presented includes an overview of the shallow gas play in the northern dutch offshore and focuses on the seismic characterization system established to help selecting those bright spots that have highest potential for development. the main objectives are to de-risk the play and to improve the understanding of the relation between seismic anomalies and gas saturation. | |
| On Demand | Petrographic coded correlations in petrophysics Student E-Lecture Recording | Nina Gegenhuber | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | eage student e-lecture: petrographic coded correlations in petrophysics by nina gegenhuber petrophysics refers to the research on the physical properties of rocks, their experimental and theoretical derivation and their correlations. in this e-lecture the petrographic coded model concept will be explained and some examples of the first applications are shown. the first application of the model was to derive a correlation between thermal conductivity and compressional wave velocity. the model concept can help to understand various influencing factors for the different petrophysical properties and become a powerful tool for data interpretation. | |
| On Demand | In-Situ Local Angle Domain Sata as an Ideal Representation for Directivity Driven Imaging E-Lecture Recording | Zvi Koren | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture zvi koren presents a novel imaging system for enriching (maximizing) information from the available recorded seismic data. the system is based on two stage imaging process composed of: 1. mapping into the local angle domain (lad): internal optimal beam forming and in situ full wavefield mapping and decomposition (binning) of the 5d recorded seismic data into the subsurface 7d lad using a bottom-up ray-based migration operator. the resulted imaged dataset is organized and stored as 5d angle-domain common image gathers, where each depth point consists of two directional angles (apparent dip and azimuth) and two scattering angles (opening angle and opening azimuth). 2. lad-based conditioning and processing: mute, data reconstruction, q compensation lad-based imaging: ability to selectively enhance structural model continuity (specular energy imaging) and high resolution discontinuous objects: small faults and fracture systems (diffraction imaging) or near vertical walls (corner-waves imaging) directly from the 5d lad gathers it is shown that the method enhances the data components associated with the seismic modelling used for the migration (e.g. primary p-waves) and simultaneously attenuates all other data characteristics (“noise”; “multiples”) in both data and space-angle domains. | |
| On Demand | Quantitative Analysis of Schoonebeek SeisMovie Data E-Lecture Recording | Paul Zwartjes | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | a permanently installed seismovie™ system was deployed at schoonebeek oil field in the netherlands to monitor steam injection in one of the patterns. qualitatively, the 4d data has given us unprecedented insight into the lateral extent and temporal evolution of the steam front. we attempted to invert directly for steam thickness but the limited areal extent of the system (narrow swath) resulted in a sub-optimally imaged stack that did not match the synthetic data generated from the reservoir model (i.e., we could not “close-the-loop”). instead, we compared forward modelled data generated from a history matched reservoir model to 4d synthetic and observed time lapse seismic attributes and concluded that we see a slow vertical steam chest growth of approximately 1.7cm/day over a 7 month period. | |
| On Demand | Paleogeography and Stratigraphy E-Lecture Recording | Juan Tavella | Geology | Stratigraphy | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture juan tavella describes the main aspects of a case study for unconventional reservoir characterization of the upper jurassic shale in northern mexico. it is based on the workflow developed in the past three years to predict key properties to understand the behaviour of a source rock as a reservoir. it integrates well and seismic to provide attributes that in a exploratory scenario will help to outline high potential zones and to generate useful information to design drilling navigation and completion. | |
| On Demand | Seismic Surveillance for Reservoir Delivery "A Practitioner's Perspective" E-Lecture Recording | Olav Inge Barkved | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture olav barkved will share examples of value creation from 4d seismic and demonstrate how the technology can be taken a step further through the use of field-wide permanent installed seismic sensors. permanently installed systems for seismic surveillance offer frequent and high quality seismic time-lapse surveys to be used for active reservoir management, to support the drilling of infill wells, and to assist the production engineers in managing the wells. olav, currently with petoro and previously with bp norway, is sharing from his experience in managing and making the most out of a dedicated seismic surveillance system for reservoir delivery. | |
| On Demand | Accurate Modelling and Inversion With Structural Models Using The Finite-Difference Method E-Lecture Recording | James Hobro | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture james hobro (schlumberger gould research) describes a new approach to representing complex 3-d structural features (e.g. salt bodies) in gridded modelling and inversion applications. this approach removes the model parameter aliasing commonly present in gridded models and allows structural boundaries to be positioned to sub-cell accuracy. it can be linearized to enable inversion methods that operate on gridded models to update the shape parameters describing model structure directly. it is shown in synthetic modelling tests that this method significantly improves the accuracy of seismic data modelled using the finite-difference method in the presence of high-contrast structural features such as salt bodies. an application to full waveform inversion is also demonstrated using synthetic data, in which bulk shifts and fine structure are resolved in a complex top-salt gulf-of-mexico model. | |
| On Demand | Data-Driven Green's Function Retrieval from Reflection Data E-Lecture Recording | Kees Wapenaar | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | this e-lecture introduces new reflection imaging methodology, which deals with internal multiples. first, an iterative scheme retrieves focusing functions from reflection data at the surface, which focus onto virtual sources in the subsurface. next, the responses to these virtual sources, the green’s functions, follow from the focusing functions and the reflection data. once these green’s functions are obtained, reflection imaging can be carried out by which the primaries and internal multiples are mapped to their correct positions, with correct reflection amplitudes and without the occurrence of false images at wrong positions. | |
| On Demand | Passive Seismic Surface-Wave Interferometry for Reservoir-Scale Imaging E-Lecture Recording | Sjoerd de Ridder | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture sjoerd de ridder provides an introduction to passive seismic interferometry using surface waves with applications to reservoir geophysics. first, he addresses the nature of seismic noise typically recorded at low frequencies by marine seismic arrays. then, he explaines the basic principle of passive seismic interferometry and shows virtual seismic sources obtained by cross-correlating microseism noise. lastly, he demonstrates example applications of imaging anisotropy and time-lapse velocity changes using virtual seismic sources. | |
| On Demand | Notional ghosts E-Lecture Recording | Gary Hampson | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | in this e-lecture: gary hampson, principal research geophysicist at downunder geosolutions, will explain an extension to the airgun notional source concept called notional ghosts. these are conceptual devices that describe the source ghost in terms of virtual monopole sources each of which has its own signature. as with notional sources, although notional ghosts are never directly observed, they are derived by inversion of the pressure wavefield recorded by the near field hydrophones. in this lecture gary explains the motivation for this new concept, its theoretical basis and shows real examples. | |
| On Demand | 4D Inversion of Continuous Land Seismic Reservoir Monitoring of Thermal EOR E-Lecture Recording | Laurène Michou | Engineering | Petroleum Engineering | E-Lecture Recording | On Demand | On Demand | EAGE | laurene michou (cgg) presents 4d seismic inversion results from a continuous seismic monitoring survey of the schoonebeek reservoir produced by thermal eor. the 4d simultaneous stratigraphic inversion methodology was driven by the continuous nature of the monitoring. inversion results brought significant insight about steam distribution. | |
| On Demand | Resolving Near-Surface Velocity Anomalies in Marine Data E-Lecture Recording | Ian Jones | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | unresolved velocity anomalies in the near surface degrade deeper imaging. as a consequence, great care needs to be taken to ensure that all significant near-surface effects have been dealt with before attempting to build the deeper parts of a velocity-depth model. in order to incorporate velocity anomalies into the model, a range of options can be used, depending on whether the geobody geometry alone is discernible, or whether its velocity distribution is also known. here i describe current industrial practice for building complex near-surface models, which is based on a range of approximate techniques, as well as the more complete solution offered by the emerging technology of waveform inversion. although building complex near surface models is a painstaking process, a suitable near-surface velocity model can usually be obtained. | |
| On Demand | An Electromagnetic Survey Of A Gas Hydrate Vent Offshore Mid-Norway E-Lecture Recording | Andrei Swidinsky | Near Surface | Non-seismic Methods | E-Lecture Recording | On Demand | On Demand | EAGE | andrei swidinsky describes a transient electromagnetic survey to image the resistivity structure of the hydrate vent cne03, offshore mid-norway (located approximately 10 km north of the storegga slide sidewall). the experiment is unique in that the electric dipole transmitter has two polarizations for each transmission station. furthermore, the newly designed transmitter is deployed in a pogo-style acquisition, which is suitable for a detailed investigation of a small scale seafloor target. the geometry of the experiment makes conventional interpretation methods difficult so that we simplify the data by creating a single rotationally invariant quantity from the original four electric field measurements (two electric field measurements for two transmitter polarizations). this invariant is further reduced to an apparent resistivity, which is useful for rapid resistivity mapping of the seafloor. results show that cne03 is characterized by increased apparent resistivities which correlate well with increased p-wave velocities determined from ocean bottom seismometer measurements. | |
| On Demand | Water Velocity and Tide Measurement in Marine Seismic Acquisition E-Lecture Recording | Kanglin Wang | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | kanglin wang (shell) discusses how to improve time-lapse (4d) seismic with novel water statics processing involving a seafloor device called pies. a well known challenge in marine 4d processing is the non-repeatability introduced by water velocity and tidal variations during a survey and between different surveys. pies provides direct measurement and continuous monitoring of these water properties and greatly reduces the uncertainties in timing and positioning of seismic data. | |
| On Demand | Distributed Acoustic Sensing Cable for Surface Seismic E-Lecture Recording | Kees Hornman | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | distributed acoustic sensing (das) is a relatively novel technology, which uses a fibre-optic cable as sensor. advantages are that the cable is passive, it does not have separate detectors and the channel spacing can be set by the instrument. das has already found applications in monitoring of hydraulic fracturing and vsps. a downside is that a straight fibre has no broadside sensitivity and can therefore not be used for reflection seismic with horizontal cables. a helically wound cable (hwc) solves that problem; the video describes a field trial, which confirms the theoretically expected isotropic sensitivity of the hwc for p-waves. | |
| On Demand | Wave Equation Receiver Deghosting E-Lecture Recording | Craig Beasley | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | current solutions to receiver deghosting of marine seismic data generally involve making complementary measurements of the wavefield or, alternatively, involve estimation of data not recorded due to ghost interference. in this talk, we introduce a new approach that rigorously deghosts single measurement data (p-wave only, for example) without relying on estimation of missing data, which was previously thought to be mathematically impossible. we use the wave equation to compute directly the up and downgoing wavefields between the receiver and the surface. this migration-like approach is possible given that the upcoming wavefield is causal with respect to the downgoing wavefield, a good assumption if certain types of noise such as the direct arrivals are removed from the recorded wavefield. moreover, our method exposes the underlying physics of the problem and thereby naturally allows for complexities such as variable water velocity, sea surface, complex surface reflection conditions and arbitrary receiver configurations. | |
| On Demand | Dip Correction for Convolutional Modelling and Elastic Inversion E-Lecture Recording | Adam Cherrett | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | convolutional seismic modelling is a very convenient and fast technique, widely used in geoscience. it is usually applied in the vertical dimension only, which is one of its shortcomings, leading to inaccurate modelling and restricting its applications. this talk concerns a simple pseudo-3d extension to the convolutional model which improves modelling of dipping events and the lateral resolution of seismic data. this same 3d operator, when used to invert images for elastic properties, can reduce artefacts and improve resolution. | |
| On Demand | Satellite InSAR Data Reservoir Monitoring From Space E-Lecture Recording | Alessandro Ferretti | Engineering | Petroleum Engineering | E-Lecture Recording | On Demand | On Demand | EAGE | satellite radar data for surface deformation monitoring are gaining increasing attention. they provide a powerful tool for remotely measuring small surface displacements that can be applied successfully to many different applications, spanning from sinkhole detection to reservoir optimization. this course provides a step-by-step introduction to satellite radar sensors, sar imagery, sar interferometry and advanced insar techniques. rather than a tutorial for remote sensing specialists, the course starts from very basic concepts and explain in plain language the most important ideas related to sar data processing and why geoscientists and engineers should take a vested interest in this new information source. | |
| On Demand | Pseudo-Elastic Impedance - A Norwegian Sea Demonstration E-Lecture Recording | Per Avseth | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | in recent years, elastic inversion and quantitative interpretation of pre-stack seismic data have become standard procedures in the petroleum industry. in this presentation, per avseth (norwegian university of science and technology) compares extended elastic impedance trends at different chi angles, with rock physics template models. he demonstrates that the elastic impedance attribute does not always comply with the complexity and non-linearity of rock physics models related to geological processes. he also shows how one can honour the non-linearity of a rock physics model and create pseudo-elastic impedance as a function of deviation away from a curved water-wet rock physics model itself (cpei). finally, per demonstrates the use of this approach on seismic inversion data from a selected area in the mid norwegian sea, by mapping of lithology and fluid anomalies that are consistent with rigorous rock physics models. this video is part of eage online education programme. the european association of geoscientists and engineers (eage) is a global professional, non-profit association for geoscientists and engineers. eage strives to promote innovation and technical progress and aims to foster communication and cooperation between those working in, studying or interested in these fields. to learn more about eage education visit www.learninggeoscience.org per avseth is the instructor in a short course and a webinar offered via eage. consult our calendar of events to learn about the upcoming deliveries of request it for in-house training! | |
| On Demand | High Resolution 3D Tunnel Seismic Reflection at Olkiluoto, Finland E-Lecture Recording | Calin Cosma | Geophysics | Seismic Acquisition | E-Lecture Recording | On Demand | On Demand | EAGE | calin cosma (vibrometic) describes the high-resolution seismic techniques, used for rock characterization ahead and around the access tunnel of the spent nuclear fuel disposal facility, currently being built at olkiluoto, finland. long fractures and deformation zones were identified and mapped up to hundreds of meters from the tunnel. the methodological novelty has been the introduction of the 3d image point migration, which proved to be very effective for the imaging of low-aperture rock features with various orientations. the results are compared with the current site model and observations in tunnels and boreholes. | |
| On Demand | Volume Based Modeling: Automated Construction of Complex Structural Models E-Lecture Recording | Laurent Souche | Geology | Geological Modeling | E-Lecture Recording | On Demand | On Demand | EAGE | laurent souche (schlumberger) exposes the latest advances in structural modeling. after discussing the conceptual differences between surface-based and volume-based approaches for building 3d faulted structural models of the subsurface, the key algorithms underlying the volume-based technology are described. the main geological and geometrical constraints controlling the interpolation of a 3d attribute representing the relative geological age of the formations are also detailed. finally, advantages of volume-based methods are illustrated using synthetic examples, physical sandbox models and real field data. | |
| On Demand | Seismic 4D Inversion for Quantitative Use in Automated History Matching E-Lecture Recording | Milana Ayzenberg | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | milana ayzenberg (statoil) discusses the different aspects of using 4d seismic for conditioning reservoir models. assisted history matching is employed to match the reservoir production history and the 4d seismic inversion data simultaneously. the three building bricks of a conditioning workflow are the forward modelling from the reservoir model to the inverted 4d seismic attributes; the quantitative seismic inversion; and the history matching which closes the dynamic conditioning loop. milana discusses in detail these three components, with a particular focus on the quantitative aspects and uncertainties in a 4d inversion. the conditioning workflow is demonstrated on a north sea field which exhibits a complex 4d signal. the seismic data is inverted to 4d changes in elastic parameters. this data is further used for conditioning the reservoir model on equal footing with production and pressure data. | |
| On Demand | Least Squares Reverse Time Migration E-Lecture Recording | Bin Wang | Geophysics | Seismic Processing | E-Lecture Recording | On Demand | On Demand | EAGE | bin wang (tgs) briefly introduces a new imaging algorithm called least squares rtm (lsrtm). lsrtm is an inversion-based imaging algorithm, which aims to derive a better reflectivity image. similar to full waveform inversion, lsrtm is trying to minimize the data residual between a field-recorded seismogram and a synthetic modeled seismogram. like reverse time migration (rtm), lsrtm is based on the two-way wave equation. compared to a regular rtm, lsrtm has the following benefits: 1) it gives a high-resolution and broadband seismic image, especially the low frequency end; 2) it reduces migration artifacts due to acquisition foot print and non-uniform illumination; 3) the migration image has more balanced amplitudes, as lsrtm is towards true amplitude imaging. | |
| On Demand | Rock Physics and Seismic Reservoir Prediction Contrained by Depositional and Burial Trends E-Lecture Recording | Per Avseth | Reservoir Characterization | Rock Physics | E-Lecture Recording | On Demand | On Demand | EAGE | in this compact version of his distinguished lecture programme presentation, per avseth (norwegian university of science and technology) discusses rock physics and seismic reservoir prediction constrained by depositional and burial trends. outline: 1. rock physics background and motivation 2. using compactional depth trends to improve lithology and fluid classification from avo -- a demonstration from the alvheim field, north sea. 3. how burial history and associated variation in rock stiffness affects 4-d time shifts -- an example from the troll east field, north sea. this video is part of eage online education programme. the european association of geoscientists and engineers (eage) is a global professional, non-profit association for geoscientists and engineers. eage strives to promote innovation and technical progress and aims to foster communication and cooperation between those working in, studying or interested in these fields. to learn more about eage education visit www.learninggeoscience.org per avseth is the instructor of a short course and a webinar offered via eage. consult our calendar of events to learn about the next deliveries or request one! | |
| On Demand | Seismic Geomechanics E-Lecture Recording | Jorg Herwanger | Reservoir Characterization | Geomechanics | E-Lecture Recording | On Demand | On Demand | EAGE | in this compact version of his eage education tour (eet 5), jörg herwanger (ikon science, previously schlumberger) discusses the process of building and calibrating geomechanical models using 3d and 4d seismic data. he analyzes the three main uses that seismic data provide in building geomechanical models: horizon and fault interpretation for building structural models, avo inversion and rock physics models for creating mechanical property models, and for model calibration. herwanger elaborates on these three points in two case studies. the first case study presents a 3d exploration geomechanical model. the second study presents a 4d geomechanical model used for field development planning. the accompanying book is available in the eage bookshop: http://bookshop.eage.org/webshop/prod... this video is part of eage online education programme. the european association of geoscientists and engineers (eage) is a global professional, non-profit association for geoscientists and engineers. eage strives to promote innovation and technical progress and aims to foster communication and cooperation between those working in, studying or interested in these fields. to learn more about eage education visit www.learninggeoscience.org | |
| On Demand | How to Submit a Good Abstract - Part 1 How-to-Video Recording | Aart-Jan van Wijngaarden | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to submit a good abstract - part 1 are you planning to submit an abstract for the eage annual or an upcoming scientific conference? we have a new series of how-to videos focusing exactly on this! eage experts including the eage technical programme officer aart-jan van wijngaarden (equinor) shared their tips on what to avoid and things to remember when preparing an abstract for your next presentation. | |
| On Demand | How to Submit a Good Abstract - Part 2 How-to-Video Recording | Milos Cvetkovic | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to submit a good abstract - part 2 are you planning to submit an abstract for the eage annual or an upcoming scientific conference? we have a new series of how-to videos focusing exactly on this! eage experts including eage technical programme reviewer milos cvetkovic (spectrum geo) shared their tips on what to avoid and things to remember when preparing an abstract for your next presentation. | |
| On Demand | How to Submit a Good Abstract - Part 3 How-to-Video Recording | Maartje Houben | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to submit a good abstract - part 2 are you planning to submit an abstract for the eage annual or an upcoming scientific conference? we have a new series of how-to videos focusing exactly on this! eage experts including eage technical programme reviewer maartje houben (utrecht university) shared their tips on what to avoid and things to remember when preparing an abstract for your next presentation. | |
| On Demand | How to Present to a Live Audience - Preparation How-to-Video Recording | Ivan Vasconcelos | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to present to a live audience - preparation six seasoned presenters, including eage technical programme reviewer ivan vasconcelos (utrecht university) share their experience and advice on preparing presentations, on how to capture and how to keep the audience’s attention and on what they have learned over the years. the videos address very practical questions and different situations, so whatever your concern, the answer is here. | |
| On Demand | How to Present to a Live Audience - Non-Verbal Communication How-to-Video Recording | Caroline Lowrey | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to present to a live audience - non verbal communication six seasoned presenters, including eage technical programme reviewer caroline lowrey (spirit energy norway) share their experience and advice on preparing presentations, on how to capture and how to keep the audience’s attention and on what they have learned over the years. the videos address very practical questions and different situations, so whatever your concern, the answer is here. | |
| On Demand | How to Present to a Live Audience - The Story, Part 1 How-to-Video Recording | Giles Watts | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to present to a live audience - the story, part 1 six seasoned presenters, including eage technical programme reviewer giles watts (watts geoscience consulting) share their experience and advice on preparing presentations, on how to capture and how to keep the audience’s attention and on what they have learned over the years. the videos address very practical questions and different situations, so whatever your concern, the answer is here. | |
| On Demand | How to Present to a Live Audience - The Story, Part 2 How-to-Video Recording | Esther Bloem | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to present to a live audience - the story, part 2 six seasoned presenters, including eage technical programme reviewer esther bloem (nibio – norwegian institute of bioeconomy research) share their experience and advice on preparing presentations, on how to capture and how to keep the audience’s attention and on what they have learned over the years. the videos address very practical questions and different situations, so whatever your concern, the answer is here. | |
| On Demand | How to Present to a Live Audience - Interaction with the Audience, Part 1 How-to-Video Recording | Victor Aarre | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to present to a live audience - interaction with the audience, part 1 six seasoned presenters, including eage technical programme reviewer victor aarre (schlumberger) share their experience and advice on preparing presentations, on how to capture and how to keep the audience’s attention and on what they have learned over the years. the videos address very practical questions and different situations, so whatever your concern, the answer is here. | |
| On Demand | How to Present to a Live Audience - Interaction with the Audience, Part 2 How-to-Video Recording | John Brittan | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to present to a live audience - interaction with the audience, part 2 six seasoned presenters, including eage technical programme reviewer john brittan (ion) share their experience and advice on preparing presentations, on how to capture and how to keep the audience’s attention and on what they have learned over the years. the videos address very practical questions and different situations, so whatever your concern, the answer is here. | |
| On Demand | How to Chair - Part 1: The Role of the Chairperson How-to-Video Recording | Aart-Jan van Wijngaarden, Ivan Vasconcelos, John Brittan, Pierre-Olivier Lys, Paul Zwartjes and Roald van Borselen | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to chair a session – the role of the chairperson another important element contributing to the success of a presentation, as well as to a productive scientific exchange, is good chairing. in this series we explore the role of the chairperson with advice from experienced chairs, including eage technical programme officer aart-jan van wijngaarden (equinor) and technical programme reviewers ivan vasconcelos (utrecht university), john brittan (ion), pierre-olivier lys (total), paul zwartjes (aramco overseas company) and roald van borselen (aramco overseas company). | |
| On Demand | How to Chair - Part 2: Keeping Time How-to-Video Recording | Aart-Jan van Wijngaarden, Ivan Vasconcelos, John Brittan, Pierre-Olivier Lys, Paul Zwartjes and Roald van Borselen | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to chair a session – keeping time another important element contributing to the success of a presentation, as well as to a productive scientific exchange, is good chairing. in this series we explore the role of the chairperson with advice from experienced chairs, including eage technical programme officer aart-jan van wijngaarden (equinor) and technical programme reviewers ivan vasconcelos (utrecht university), john brittan (ion), pierre-olivier lys (total), paul zwartjes (aramco overseas company) and roald van borselen (aramco overseas company). | |
| On Demand | How to Chair - Part 3: Creating an Engaging Session How-to-Video Recording | Aart-Jan van Wijngaarden, Ivan Vasconcelos, John Brittan, Pierre-Olivier Lys, Paul Zwartjes and Roald van Borselen | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to chair a session – creating an engaging session another important element contributing to the success of a presentation, as well as to a productive scientific exchange, is good chairing. in this series we explore the role of the chairperson with advice from experienced chairs, including eage technical programme officer aart-jan van wijngaarden (equinor) and technical programme reviewers ivan vasconcelos (utrecht university), john brittan (ion), pierre-olivier lys (total), paul zwartjes (aramco overseas company) and roald van borselen (aramco overseas company). | |
| On Demand | How to Chair - Part 4: Tips and Tricks for Problems during a Session How-to-Video Recording | Aart-Jan van Wijngaarden, Ivan Vasconcelos, John Brittan, Pierre-Olivier Lys, Paul Zwartjes and Roald van Borselen | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to chair a session – tips and tricks for problems during a session another important element contributing to the success of a presentation, as well as to a productive scientific exchange, is good chairing. in this series we explore the role of the chairperson with advice from experienced chairs, including eage technical programme officer aart-jan van wijngaarden (equinor) and technical programme reviewers ivan vasconcelos (utrecht university), john brittan (ion), pierre-olivier lys (total), paul zwartjes (aramco overseas company) and roald van borselen (aramco overseas company). | |
| On Demand | How to Get Published - Part 1 How-to-Video Recording | Malcolm Francis | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to get published - part 1 are you considering publishing your paper in a scientific journal? are you looking for advice to enhance the quality of your research work and increase the chance to get your paper accepted? eage can help you on your way preparing that paper. in this series, two expert reviewers including malcolm francis (schlumberger) reveals their recipe for successfully published papers, including practical experience in the selection of appropriate journals for your subject of study, tips on academic research writing, the importance and role of co-authors, together with the dos and don’ts when submitting your paper and the proper reactions to a negative decision. | |
| On Demand | How to Get Published - Part 2 How-to-Video Recording | Gareth Williams | Training and Development | Soft Skills | How-to-Video Recording | On Demand | On Demand | EAGE | how to get published - part 2 are you considering publishing your paper in a scientific journal? are you looking for advice to enhance the quality of your research work and increase the chance to get your paper accepted? eage can help you on your way preparing that paper. in this series, two expert reviewers including gareth williams reveals their recipe for successfully published papers, including practical experience in the selection of appropriate journals for your subject of study, tips on academic research writing, the importance and role of co-authors, together with the dos and don’ts when submitting your paper and the proper reactions to a negative decision. |
Past Courses
