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Shale Gas and Tight Oil Reservoir Simulation

  • ID: 4540023
  • Book
  • July 2018
  • Region: Global
  • 430 Pages
  • Elsevier Science and Technology
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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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1. Introduction of Shale Gas and Tight Oil Reservoirs
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
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Yu, Wei
Dr. Wei Yu is the chief technology officer for Sim Tech LLC. His research interests in¬clude EDFM (Embedded Discrete Fracture Model) technology for modeling any com¬plex fractures, shale gas and tight oil reser-voir simulation, EDFM-AI for automatic history matching and well spacing optimi¬zation. He is an Associate Editor for SPE Journal, Journal of Petroleum Science and Engineering, and International Journal of Oil, Gas and Coal Technology. Yu authored or coauthored more than 150 technical papers and holds five patents and one book ("Shale Gas and Tight Oil Reservoir Simulation”). He holds a PhD degree in petroleum engineering from The University of Texas at Austin. Yu is an active member of SPE.
Sepehrnoori, Kamy
Sepehrnoori is a professor in the Hildebrand Department of Petroleum and Geosystems Engineering at The Uni-versity of Texas at Austin, where he holds the Texaco Centennial Chair in Petroleum En¬gineering. His research interest and teaching include computational methods, reservoir simulation, simulation of unconventional reservoirs, enhanced oil recovery modeling, flow assurance modeling, naturally fractured reservoirs, high-performance computing, and CO2 sequestration. He has been teaching at The University of Texas for over 30 years and has graduated more than 200 MS and PhD students under his supervision working mainly in the areas of reservoir simulation and enhanced oil recovery modeling. For the last several years, he has been supervising a research group in simulation of unconventional reservoirs (shale gas and tight oil reservoirs). Sepehrnoori's research team along with his colleagues have been in charge of development of several compositional reservoir simulators (i.e., UTCOMPRS, UTCHEMRS, and UTGEL). Also, more recently, he supervised the development of a soft-ware package for embedded discrete fracture modeling for application in naturally and hydraulically fractured reservoirs. He has published over 600 articles in journals, and conference proceedings in his research areas. He has also coauthored two books, which have been published by Elsevier. Sepehrnoori is the director of the Reservoir Simulation Joint Industry Project in the Center of Petroleum and Geosystems Engineering. He holds a PhD degree in petroleum engineering from The University of Texas at Austin.
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