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.
| Code | Date | Location | price (€)* |
|---|---|---|---|
| GEO 123 | 6 - 10 Nov 2023 | Online | 1790 |
| GEO 123 | 5 - 9 Dec 2023 | Abu Dhabi | 3990 |
| GEO 123 | 16 – 20 Sep 2024 | Online | 1990 |
| GEO 123 | 4 – 8 Nov 2024 | Online | 1990 |
| GEO 123 | 12 – 16 Aug 2024 | Stavanger | 3990 |
| GEO 123 | 2 – 6 Dec 2024 | Abu Dhabi | 3990 |
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
Rock Physics plays an important role in the oil and gas industry by providing the physical links between seismic signatures such as amplitudes, AVO, and impedances, and the rock and fluid properties of the reservoir. Professor Mukerji offers this 5-day course for those who want to be more familiar with how to apply rock physics models for seismic reservoir characterization and uncertainty quantification.
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 diagnostic seismic signatures of deposition, diagenesis, lithology, pore fluid saturation, stress, pore pressure and temperature, and fractures. 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 and uncertainty quantification 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.
o Introduction to Rock Physics, motivation, introductory examples
o Parameters that influence seismic velocities – Conceptual Overview
effects of fluids, stress, pore pressure, temperature, porosity, fractures
o Bounding methods for robust modeling of seismic velocities
o Effective media models for elastic properties of rocks
o Gassmann Fluid substitution – uses, abuses, and pitfalls
derivation, recipe and examples, useful approximations
o Partial saturation and the relation of velocities to reservoir processes
o The importance of saturation scales and their effect on seismic velocity
o Shaly sands and their seismic signatures
o Granular media models, unconsolidated sand model, cemented sand model
o Velocity dispersion and attenuation; Velocity Upscaling
o Rock Physics of AVO interpretation and Vp/Vs relations
o Quantitative seismic interpretation, uncertainty, and rock physics templates.
o Example case studies using AVO and seismic impedance for quantitative reservoir characterization
o Rock physics and Bayesian machine learning applications
Professoe Tapan Mukerji is a Professor (Research) at Stanford University where he got his Ph.D. (1995) in Geophysics. Tapan co-directs the Stanford Center for Earth Resources Forecasting (SCERF), the Stanford Rock Physics and Borehole Geophysics (SRB) and Basin and Petroleum System Modeling (BPSM) projects at Stanford University. 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 has been 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 instructor for numerous short courses on rock physics and geostatistics, in North and South America, Europe, Africa, Australia and Asia.
Geophysicists, Reservoir Geologists, Seismic interpreters, and Engineers concerned with seismic chaarcterization using rock physics
o Intermediate to Advance
After completing this course, participants will be familiar with the following:-Use rock physics models for quantitative seismic interpretation
-Model the effects of fluids on seismic amplitudes and AVO
-Use statistical rock physics and Bayesian machine learning for lithofacies prediction
Registration is now OPEN!
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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