For the practitioner, this volume is a valuable tool for predicting reservoir flow in the most efficient and profitable manner possible, using quantitative methods rather than anecdotal and outdated methods. For the student, this volume offers insight not covered in other textbooks. Too many approaches in traditional petroleum engineering are based on "ad hoc" and "common sense" methods that have no rigorous mathematical basis. Most textbooks dealing with reservoir engineering do not go into the necessary mathematical detail and depth. This new book by Wilson Chin, a revision of two earlier books published by Gulf Publishing, Modern Reservoir Flow and Well Transient Analysis and Formation Invasion, integrates rigorous mathematical methods for simulating and predicting reservoir flow both near and away from the well.
Buy Quantitative Methods in Reservoir Engineering book by Wilson C. Chin from Australia's Online Bookstore, Boomerang Books.
(235mm x 152mm x mm)
Publisher: Elsevier Science & Technology
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Author Biography - Wilson C. Chin
Wilson Chin is currently President and Founder of Stratamagnetic Software, LLC. Started in 1999, his company develops scientific models for oil and gas exploration and production clients such as Baker Hughes, CNPC, Halliburton, Schlumberger, and the US Department of Energy. Previously, he worked for Halliburton, BP, Schlumberger and Boeing. He has published 13 books focused on reservoir engineering, formation evaluation, sensor design, drilling, and computational methods. He was also recently a Consultant for GE Oil and Gas MWD design. Wilson has also taught at the University of Houston as an Adjunct Professor and has earned awards and partnerships through the US Department of Energy as well as over 70 patents. Wilson has authored multiple conference papers and journal articles. He earned a B.Sc. in Aerospace Engineering and Applied Math from New York University, a M.Sc. in Aerospace Engineering from California Institute of Technology, and a Ph.D. in Physics, Math, and Aerospace from the Massachusetts Institute of Technology.