Hydraulic Fracturing in Unconventional Reservoirs: Theories, Operations, and Economic Analysis
nov. 2016 · Gulf Professional Publishing
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Hydraulic Fracturing in Unconventional Reservoirs: Theories, Operations, and Economic Analysis introduces the basic characteristics and theories surrounding hydraulic fracturing and the main process of fracturing in shale, including the main workflow, the details in case analysis, and the fundamental differences between theory, study, and practical operation. The book takes the complex nature of the hydraulic fracturing in unconventional reservoirs and applies a practical approach that can be useds as a workflow for designing fracture treatments in various shale basins across the world. Providing the audience with theories, best practices, operation and execution, and economic analysis of hydraulic fracturing in unconventional reservoirs, this reference guides the engineer and manager through broad topics including an introduction to unconventional reservoirs, advanced shale reservoir characterization, and shale gas in place calculation as well as expanding to basic theories of hydraulic fracturing and advanced topics in shale reservoir stimulation. Rounding out with coverage on the environmental aspects and practice problems on design and economic analysis, the book delivers the critical link needed between academia and industry for all aspects of hydraulic fracturing operations. - Presents basic characteristics of unconventional reservoirs and introductory theories and practices on hydraulic fracturing, including post-fracturing analysis - Includes an explanation of company assets and financial responsibility, with coverage on economic evaluation and how to predict decline curves - Provides tactics on how to strengthen real-world skills with the inclusion of practice examples at the end of the book
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Hoss Belyadi is the founder and CEO of Obsertelligence, LLC, focused on providing artificial intelligence (AI) in-house training and solutions. As an adjunct faculty member at multiple universities, including West Virginia University, Marietta College, and Saint Francis University, Mr. Belyadi taught data analytics, natural gas engineering, enhanced oil recovery, and hydraulic fracture stimulation design. With over 10 years of experience working in various conventional and unconventional reservoirs across the world, he works on diverse machine learning projects and holds short courses across various universities, organizations, and the department of energy (DOE). Mr. Belyadi is the primary author of Hydraulic Fracturing in Unconventional Reservoirs (first and second editions) and is the author of Machine Learning Guide for Oil and Gas Using Python. Hoss earned his BS and MS, both in petroleum and natural gas engineering from West Virginia University.Dr. Fathi is currently an Associate Professor of Petroleum and Natural Gas Engineering at West Virginia University. He has received 2014 (AIME) Rossiter W. Raymond Memorial Award and SPE outstanding Technical Editor Award in 2013. Ebrahim has authored several peer reviewed journal publications and conference papers. He has been heavily involved in research on various aspects of unconventional reservoir developments, including machine learning, multi-stage hydraulic fracturing of horizontal wells, and prediction of fault reactivation. His research has also included laboratory measurement and characterization of fluid transport and storage in organic-rich shales, innovative research developing new-generation of flow simulators for unconventional reservoirs, and the area of computational fluid dynamics. He earned a BS in Exploration of Mining Engineering and a MS in Exploration of Petroleum Engineering, both from Tehran University, a PhD and Post-doc in Petroleum Engineering from the University of Oklahoma.Fatemeh Belyadi is currently the founder and CEO of Integrated Smart Data Solutions, LLC. Dr. Belyadi was formerly an Assistant Professor of Petroleum and Natural Gas Engineering at West Virginia University, Exterran Energy Solution Company, and Kish Oil and Gas Company (KOGC) where she specialized in process equipment, gas plant, refinery reactor design, reservoir management, and machine learning. SPE publishes a large portion of her professional activities, where she regularly attends and presents papers in SPE conferences. Her research interests include multi-phase fluid flow, wellbore integrity, designing and managing drilling fluids, machine learning, and enhanced oil recovery especially from stripper wells. Dr. Belyadi received her BS, MS, and PhD in Petroleum and Natural Gas Engineering from West Virginia University.
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