Short Course Catalogue - Near Surface
Instructor: Dr Ernst Niederleithinger (BAM)
The course will give a detailed introduction to geophysical investigation of river embankments. This includes background knowledge on geotechnical and legal issues, an overview of available techniques and their proper implementation and interpretation. This will be supported by case studies and hands on experience using real data and industry standard geophysical software. Integration into geotechnical surveys is discussed as well as quality assurance and contracting. Participants are encouraged to present their own projects, data and case studies for discussion.
Instructor: Dr Andreas Laake (Schlumberger)
This course covers the geological and geophysical concepts governing the near-surface. Methods for investigating and characterizing the near-surface such as remote sensing and surface geophysical methods are presented. The different measurements are archived and integrated in a geographical information system (GIS). The final integration reveals geological information about the near-surface and provides geophysical information for corrections in seismic data processing.
Instructor: Dr Asbjørn Nørlund Christensen (Nordic Geoscience)
In the past fifteen years airborne gravity gradiometry (AGG) has gained acceptance as a cost effective exploration tool in a variety of minerals and petroleum exploration programs. This one-day course is intended for all explorers considering using AGG in their exploration efforts.
Instructor: Dr Yaoguo Li (Colorado School of Mines)
Gravity and magnetic data are among the oldest geophysical data acquired for the purpose of resource exploration and exploitation. They currently also have the widest areal coverage on the Earth, span a great range of scales, and play important roles in mineral, energy, and groundwater arenas. This course will focus on the methodology, numerical computation, solution strategy, and applications of 3D physical property inversions of gravity and magnetic data sets. The course is designed to have two tracks in order to meet the different needs of EAGE community in mineral exploration and in oil & gas exploration and production. We achieve this by dividing the course into two parts, and cover the methodologies common in potential-field methods in Part-I and discuss tools and applications specific to mineral exploration or oil & gas reservoir monitoring in Part-II.
Instructor: Dr Bruce Hobbs (University of Edinburgh)
Following a brief summary of electromagnetic methods for exploration, the theoretical basis of the MTEM method is presented together with practical methods of data acquisition and processing. Modelling and inversion for this method are described and land and marine case studies are presented.
Instructor: Dr Alessandro Ferretti (Tele-Rilevamento Europa (TRE))
Satellite radar data for surface deformation monitoring are gaining increasing attention, and not only within the oil and gas community. They provide a powerful tool for remotely measuring extremely small surface displacements over large areas and long periods of time, without requiring the installation of in-situ equipment. However, apart from remote sensing and radar specialists, only a relatively small number of geoscientists and engineers understand how a radar sensor orbiting the Earth at about 7 km/s from 700km above the Earth's surface can actually measure ground displacements of a fraction of a centimetre. 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.
Instructor: Dr Laura Valentina Socco (Politecnico di Torino)
The use of surface wave analysis for near surface characterisation has dramatically increased in the last decade thanks to the possibility offered by this technique for shear wave velocity estimation. New tools and approaches have been developed for surface wave data acquisition and analysis to make the method robust and suitable to complex systems.