Fundamentals of Enhanced Oil Recovery Methods for Unconventional Oil Reservoirs
Language: English
Published by Elsevier, 2020
- Softcover
- New
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- Title
- Fundamentals of Enhanced Oil Recovery Methods for Unconventional Oil Reservoirs
- Author
- Alfarge, Dheiaa; Wei, Mingzhen; Bai, Baojun
- Publisher
- Elsevier
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0128183438
- ISBN 13
- 9780128183434
Fundamentals of Enhanced Oil Recovery Methods for Unconventional Oil Reservoirs, Volume 67 provides important guidance on which EOR methods work in shale and tight oil reservoirs. This book helps readers learn the main fluid and rock properties of shale and tight reservoirs—which are the main target for EOR techniques—and understand the physical and chemical mechanisms for the injected EOR fluids to enhance oil recovery in shale and tight oil reservoirs. The book explains the effects of complex hydraulic fractures and natural fractures on the performance of each EOR technique.
The book describes the parameters affecting obtained oil recovery by injecting different EOR methods in both the microscopic and macroscopic levels of ULR. This book also provides proxy models to associate the functionality of the improved oil recovery by injecting different EOR methods with different operating parameters, rock, and fluid properties. The book provides profesasionals working in the petroleum industry the know-how to conduct a successful project for different EOR methods in shale plays, while it also helps academics and students in understanding the basics and principles that make the performance of EOR methods so different in conventional reservoirs and unconventional formations.
- Provides a general workflow for how to conduct a successful project for different EOR methods in these shale plays
- Provides general guidelines for how to select the best EOR method according to the reservoir characteristics and wells stimulation criteria
- Explains the basics and principles that make the performance of EOR methods so different in conventional reservoirs versus unconventional formations
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About the Author
Dr. Mingzhen Wei, Associate Professor at Department of Geosciences and Geological and Petroleum Engineering (GGPE), Missouri S&T. Dr. Wei was well trained in Petroleum Engineering (B.S. and M.S.) and Computer Science (Ph.D.). Her Ph.D. research was data management, data quality enhancement, applications of data mining and advanced artificial intelligence computation in Petroleum Engineering. She had two years of experience in metadata modeling with Center of Excellence for Geospatial Information Science (CEGIS), U.S. Geological Survey (USGS) as a postdoc. She has been devoted her time on Enhanced Oil Recovery (EOR) and unconventional energy resources using reservoir simulation and data analytics methods. Dr. Wei has her research team work well published, with 100+ publications on prestigious journals and varied Society of Petroleum Engineers (SPE) and other conferences.
Dr. Baojun Bai is a Professor and the holder of the Lester R. Birbeck Endowed Chair in Petroleum Engineering Program at Missouri University of Science and Technology (S&T). He holds PhD degrees in Petroleum Engineering from New Mexico Tech and in Petroleum Geology from China University of Geoscience-Beijing. He has seven years of industry experience as a reservoir engineer and the head of conformance-control Team of RIPED, PetroChina. Dr. Bai was a post-Doctoral scholar at the California Institute of Technology before he joined Missouri S&T as a faculty member in 2006. He has more than 20 years of experience in the research areas of enhanced oil recovery, unconventional reservoir development, conformance control, CO2 sequestration and characterizations. Dr. Bai has published more than 200 papers in peer-reviewed journals and over 120 papers in SPE conferences by 2020. He served as the JPT Editorial Committee from 2007 to 2013. He serves as the associate editor for Journal of Petroleum Sciences and Engineering, Geofluids, and Petroleum Sciences. He is an SPE distinguished member.
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