Digital Rock Technology
29th March, 2016 (Tuesday)
Venue: Meeting Room 1, Second floor, Cuigong Hotel (inside CUPB), Beijing, China.
*Handout will be provided during the short course. There is option for on-site registration to attend the short course on the day of the short course itself.
Digital rock technology offers promise to overcome limitations of conventional core flooding – in particular sensitivity to coring, core preservation, handling and preparation procedures. In contrast to conventional analysis, digital core analysis involves numerical simulation of the desired experiments using a digital model of the core—this enables simulation of a range of desired conditions, flow regimes, fluid compositions and chemistry. In addition the simulations can be repeated on the same core models to evaluate different scenarios of oil production and investigate sensitivities to various parameters like flow rate, initial saturation and wettability. Additional advantages of the technology include the ability to make predictions considerably more quickly than conventional measurements) and the ability to use damaged samples and drill cuttings too small for standard measurements. The technology, originally devoted to basic studies of displacement processes is emerging as a potential predictive tool used in the oil industry with several companies now providing digital core analysis services. Digital rock projects have historically focused on applications to core analysis – characterizing details at the pore scale and ensuring that the physics incorporated is as required to make meaningful predictions. While this is a crucial area, it has been a fundamental limitation to creating widespread commercial value and real growth to date.
This course will provide an in depth description of digital rock analysis techniques with an emphasis on the fundamentals, the tools and practical methods utilized in this workflow. Advanced methods and current limitations will also be discussed. The course will then highlight how this technology can aid the geoscientist and reservoir engineer today and to complement traditional measurements and to use the results intelligently to predict and interpret field scale recovery processes. We describe examples where reconciliation and integration of the different types of data from a fundamental understanding of the pore scale has added value. In particular the work is used to offer fast turnaround times, aided in our understanding of unconventional reservoir core material and used to explain uncertainties and trends from laboratory measurements (e.g, issues with heterogeneity, representative elemental volume, wettability, distribution of remaining oil saturation, EOR processes). We conclude with a discussion extending this technology to the reliable prediction of petrophysical & SCAL data along continuous lengths of core material and to integrate the data with other forms of data at increasingly larger scales (log characterization, geomodels and ultimately reservoir simulators).
Upon completion of the course, participants will be able to:
1. Understand the physics of flow processes in porous rocks.
2. Be aware of the most recent development in 3D imaging and modelling technology from nanometer to meter scales.
3. Understand the importance of wettability in multiphase flow properties.
4. Understand how to utilize pore scale information for the interpretation of laboratory data and roadmaps to use in predicting properties at larger scales.
5. Have an ability to use digital techniques as a complementary source of data for reservoir characterization.
-Fundamentals: Single and multiphase flow properties and equations;
-Fundamentals: Wettability and displacement properties;
-Imaging basics: SEM, x-ray CT (micro and whole core);
-Pore scale experiments: Traditional methods and outputs;
-Pore scale experiments: Digital methods and outputs;
-Predictions, comparisons and complementary outputs;
-Case studies: Conventionals, multiphase recovery and relative permeability, unconventionals, damaged core;
-Upscaling and consequences for larger scale recovery;
Core analysts, petrophysicists, geoscientists, formation evaluation specialists and reservoir engineers.
About the instructor
Professor Mark Knackstedt is the Director of Technology for FEI/Lithicon and Professor at the Department of Applied Mathematics at the Australian National University. He is a current and past (2007-2008, 2009-2010, 2012-2013) SPWLA distinguished speaker, a 2015-2016 SPE Distinguished Lecturer and was awarded the George C. Matson Memorial Award from the AAPG in 2009 and the ENI award for New Frontiers in Hydrocarbon Research in 2010.
Please tick the short course in the online registration form when you register to participate in the short course.