Shale Gas and Tight Oil Reservoir Simulation delivers the latest research and applications used to better manage and interpret simulating production from shale gas and tight oil reservoirs. Starting with basic fundamentals, the book then includes real field data that will not only generate reliable reserve estimation, but also predict the effective range of reservoir and fracture properties through multiple history matching solutions. Also included are new insights into the numerical modelling of CO2 injection for enhanced oil recovery in tight oil reservoirs. This information is critical for a better understanding of the impacts of key reservoir properties and complex fractures.
- Models the well performance of shale gas and tight oil reservoirs with complex fracture geometries
- Teaches how to perform sensitivity studies, history matching, production forecasts, and economic optimization for shale-gas and tight-oil reservoirs
- Helps readers investigate data mining techniques, including the introduction of nonparametric smoothing models
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2. Numerical Model for Shale Gas and Tight Oil Simulation
3. Semi-Analytical Model for Shale Gas and Tight Oil Simulation
4. Modeling Gas Adsorption in Marcellus Shale Using Langmuir and BET Isotherms
5. Embedded Discrete Fracture Model (EDFM) for Complex Fracture Geometry
6. An Integrated Framework for Sensitivity Analysis and Economic Optimization in Shale Reservoirs
7. An Assisted History-Matching Workflow Using a Proxy-Based Approach for Shale Reservoirs
8. CO2 Injection for Enhanced Oil Recovery in Tight Oil Reservoirs
9. Phase Behavior Modelling by Considering Nanopore Confinement
Dr. Wei Yu is currently a research associate in the Hildebrand Department of Petroleum and Geosystem Engineering, The University of Texas at Austin, USA, and Research Associate, Harold Vance Department of Petroleum Engineering, Texas A&M University, USA. He received his PhD degree in petroleum engineering in 2015 at The Univeristy of Texas at Austin, a MS degree in Chemical Engineering from Tsinghua University in China, and a Bachelor in Applied Chemistry from the University of Jinan in China. His PhD research topic was focused on developments in modelling and optimization of production in unconventional oil and gas reservoirs. He is also currently working on simulation of CO2 enhanced oil recovery processes in tight oil reservoirs. Previously, he performed summer internships working on projects related to shale gas and tight oil simulation based on field data from Marcellus Shale and Bakken formations. In addition, he has worked on several company projects related to shale gas and tight oil simulation from Hilcorp Energy Corporation, Chief Oil & Gas LLC, and Crisman Joint Industry Projects at Texas A&M University. He has published more than 50 technical journal and conference papers in production from uncoventional reservoirs. He has also given more than 20 presentations at SPE and AAPG conferences and workshops since 2013. He has frequently peer-reviewed articles on behalf of multiple journals including the Journal of Petrom Science and Engineering and Journal of Natural Gas Science and Engineering, and he was awarded a patent for "A Novel Multistage Reactor" in 2006.
Kamy Sepehrnoori is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin, USA, where he holds the W.A. (Monty) Moncrief Centennial Chair in Petroleum Engineering and is the Director of the Reservoir Simulation Joint Industry Project in the Center for Petroleum and Geosystems Engineering. He is a world-famous expert on computational methods, reservoir simulation and numerical solutions to partial differential equations. He holds BS, MS, and PhD degrees, all from the University of Texas at Austin, and to date he has authored two books and published more than 300 technical articles and reports.