Principles of Applied Reservoir Simulation: Edition 4
jun 2018 · Gulf Professional Publishing
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Over dit e-boek
Reservoir engineers today need to acquire more complex reservoir management and modeling skills. Principles of Applied Reservoir Simulation, Fourth Edition, continues to provide the fundamentals on these topics for both early and seasoned career engineers and researchers. Enhanced with more practicality and with a focus on more modern reservoir simulation workflows, this vital reference includes applications to not only traditional oil and gas reservoir problems but specialized applications in geomechanics, coal gas modelling, and unconventional resources. Strengthened with complementary software from the author to immediately apply to the engineer's projects, Principles of Applied Reservoir Simulation, Fourth Edition, delivers knowledge critical for today's basic and advanced reservoir and asset management. - Gives hands-on experience in working with reservoir simulators and links them to other petroleum engineering activities - Teaches on more specific reservoir simulation issues such as run control, tornado plot, linear displacement, fracture and cleat systems, and modern modelling workflows - Updates on more advanced simulation practices like EOR, petrophysics, geomechanics, and unconventional reservoirs
Over de auteur
John R. Fanchi is a Professor in the Department of Engineering and Energy Institute at Texas Christian University in Fort Worth, Texas. He holds the Ross B. Matthews Chair of Petroleum Engineering and teaches courses in energy and engineering. Before this appointment, he taught petroleum and energy engineering courses at the Colorado School of Mines and worked in the technology centers of four energy companies (Chevron, Marathon, Cities Service and Getty). He is a Distinguished Member of the Society of Petroleum Engineers and authored numerous books, including Integrated Reservoir Asset Management, Energy: Technology and Directions for the Future, Shared Earth Modeling, and Integrated Flow Modeling, all published with Elsevier.
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