Well Production Performance Analysis for Shale Gas Reservoirs

Well Production Performance Analysis for Shale Gas Reservoirs

ISBN-10:
044464315X
ISBN-13:
9780444643155
Pub. Date:
05/17/2019
Publisher:
Elsevier Science
ISBN-10:
044464315X
ISBN-13:
9780444643155
Pub. Date:
05/17/2019
Publisher:
Elsevier Science
Well Production Performance Analysis for Shale Gas Reservoirs

Well Production Performance Analysis for Shale Gas Reservoirs

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Overview

Well Production Performance Analysis for Shale Gas Reservoirs, Volume 66 presents tactics and discussions that are urgently needed by the petroleum community regarding unconventional oil and gas resources development and production. The book breaks down the mechanics of shale gas reservoirs and the use of mathematical models to analyze their performance.


Product Details

ISBN-13: 9780444643155
Publisher: Elsevier Science
Publication date: 05/17/2019
Series: Developments in Petroleum Science , #66
Pages: 388
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

Lie-hui Zhang is a Professor of the College of Petroleum Engineering and the Vice-president at Southwest Petroleum University (SPWU). He has published over 260 articles, has authored or co-edited eight books, and serves on numerous editorial boards. He is the 2012 recipient of China National Funds for Distinguished Young Scientists, awarded by the NSFC (Natural Science Foundation of China) and 2014 recipient of the Cheung Kong Scholars’ distinguished professor, awarded by the Chinese Ministry of Education.

Dr. Chen is a Professor in the Department of Chemical and Petroleum Engineering, currently holds the NSERC/AI-EES/Foundation CMG Industrial Research Chair in Reservoir Simulation and AITF (iCORE) Industrial Chair in Reservoir Modeling, and is Director, iCentre for Simulation & Visualization, University of Calgary. His Ph.D. (1991), MSc (1985) and BS (1983) are from Purdue University, USA, Xi’an Jiaotong University, and Jiangxi University, China, respectively. He was a professor and reservoir engineer at Xi’an Jiaotong University, Peking University, University of Minnesota, Texas A&M University, Mobil, and Southern Methodist University (SMU). Dr. Chen held the Gerald J. Ford Professorship at SMU, Dallas, Texas, USA, and was awarded the Chang Jiang Chaired Professorship by the Chinese Ministry of Education and “Qian Ren Plan Expert” by the Chinese Government. Other significant appointments include Director of the Center for Scientific Computation, SMU, Director of the Center for Advanced Reservoir Modeling and Simulation, Peking University, and President of the Chinese Association of Science and Technology in Texas. He has published and/or edited 19 books and over 670 research papers, and has given over 380 invited (plenary and keynote) presentations worldwide. He has received numerous prestigious awards and honors, such as Fellow of Canadian Academy of Engineering, NSERC’s Synergy Award for Innovation, The Outstanding Leadership in Alberta Technology Award, IBM Faculty Award, Imperial Oil University Research Award, Fields-CAIMS Prize and Gerald J. Ford Research Fellowship Award. His research interest is in Reservoir Engineering and Numerical Reservoir Simulation for conventional and unconventional oil and gas reservoirs.

Yu-long ZHAO is a Lecture in the College of Petroleum Engineering at Southwest Petroleum University (SWPU). He has published nearly 20 articles related to transient pressure analysis and well production performance analysis. He holds a B.S, M.S. and PH.D degrees in Petroleum Engineering at SPWU.

Table of Contents

1. Shale Gas Reservoir Characteristics and Microscopic Flow Mechanisms 2. Source Function Derivation for Gas Reservoirs under Different Flow Mechanisms 3. Fractured Vertical Wells in Shale Gas Reservoirs without SRV 4. Multi-stage Fractured Horizontal Wells in Shale Reservoirs without SRV 5. Fractured Vertical Wells in Circular Gas Reservoirs with Circular SRV 6. Multi-stage Fractured Horizontal Wells in Circular Reservoirs with SRV 7. Fractured Wells in Rectangular Gas Reservoirs with SRV 8. Numerical Simulation of MFHWs in Shale Gas Reservoirs Based on CVFEM 9. Case Studies

Appendix A. Solution Derivation in Shale Gas Reservoirs under Different Transport Mechanisms B. Solution Derivation for a Continuous Line Source in a Composite Model

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Breaks down the mechanics of shale gas reservoirs and the use of mathematical models to analyze their performance

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