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Advanced Seismic - Quantitative Seismic Reservoirs Characterization


January 14 - 18, 2018

Instructor : Tapan Mukerji, Ph.D. Stanford University


Geophysicists, Exploration and development geologists, Exploration supervisors, Reservoir Engineers.


This course 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. It 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.

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.


Part 1

  • Introduction to Rock Physics, motivation, introductory examples
  • Parameters that influence seismic velocities - Conceptual Overview effects of fluids, stress, pore pressure, temperature, porosity, fractures

Part 2
  • Bounding methods for robust modeling of seismic velocities
  • Effective media models for elastic properties of rocks

Part 3
  • 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

Part 4
  • Shaly sands and their seismic signatures
  • Granular media models, unconsolidated sand model, cemented sand model
  • Velocity dispersion and attenuation; Velocity Upscaling

Part 5
  • 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 first day will be held in Holiday Inn Hotel, Cairo. The participants will fly the next day to continue the course in Hurghada.


Inclusive of refreshment and lunch at Holiday Inn. Air Ticket Cairo/Hurghada return, accommodation and meals in Hurghada.


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.