Education Days Beijing 2018
Multiple Short Course Programme
Rock Physics for Quantitative Seismic Reservoir Characterization (岩石物理在定量地震储层描述中的应用)
|Tapan Mukerji, Stanford University|
|2 day (12 - 13 July)|
|5 CPD points|
*This short course comes with Chinese translation service.
This course covers fundamentals of Rock Physics ranging from basic laboratory and theoretical results to practical “recipes” that can be immediately applied in the field. We will present quantitative tools for understanding and predicting the effects of lithology, pore fluid types and saturation, saturation scales, stress, pore pressure and temperature, and fractures on seismic velocity. We will present case studies and strategies for quantitative seismic interpretation and, suggestions for more effectively employing seismic-to-rock properties transforms in reservoir characterization and monitoring, with emphasis on seismic interpretation for lithology and subsurface fluid detection.
- Introduction to Rock Physics, motivation, introductory examples
- Parameters that influence seismic velocities - Conceptual Overview
effects of fluids, stress, pore pressure, temperature, porosity, fractures
- Bounding methods for robust modeling of seismic velocities
- Effective media models for elastic properties of rocks
- Gassmann Fluid substitution – uses, abuses, and pitfalls
derivation, recipe and examples, useful approximations
- Partial saturation and the relation of velocities to reservoir processes
- The importance of saturation scales and their effect on seismic velocity
- Shaly sands and their seismic signatures
- Granular media models, unconsolidated sand model, cemented sand model
- Velocity dispersion and attenuation; Velocity Upscaling
- Rock Physics of AVO interpretation and Vp/Vs relations
- Quantitative seismic interpretation and rock physics templates.
- Example case studies using AVO and seismic impedance for quantitative reservoir characterization
The course is recommended for all geophysicists, reservoir geologists, seismic interpreters, and engineers concerned with reservoir characterization, reservoir delineation, hydrocarbon detection, reservoir development and recovery monitoring.
About the instructor
Tapan Mukerji is an Associate Professor (Research) and co-director of the Stanford Center for Reservoir Forecasting at Stanford University, where he got his Ph.D. (1995) in Geophysics. His research interests include rock physics, geostatistics, wave propagation, and stochastic methods for quantitative reservoir characterization and time-lapse reservoir monitoring. Tapan combines experience in conducting leading edge research, teaching, and directing graduate student research. He was awarded the Karcher Award in 2000 by the Society of Exploration Geophysicists, and received the ENI award in 2014. He is an associate editor for Geophysics, journal of the Society of Exploration Geophysicists, and Computers and Geosciences. In addition to numerous journal publications, Tapan has co-authored The Rock Physics Handbook, Quantitative Seismic Interpretation, and The Value of Information in the Earth Sciences, all published by Cambridge University Press. He has been an invited keynote speaker and lecturer for numerous short courses on rock physics and geostatistics, in North and South America, Europe and Asia.