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Reservoir Engineering Models: Analytical and Numerical Approaches (Hardcover) (ISBN-13: 9781259585630)
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Turgay Ertekin
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Books
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Description
xPublisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Develop, build, and deploy accurate mathematical models for hydrocarbon reservoirs
This practical resource discusses the construction of reservoir models and the implementation of these models in both forward and inverse modes using numerical, analytical, empirical, and artificial intelligence techniques. Written by a pair of experts in the field, Reservoir Engineering Models: Analytical and Numerical Approaches clearly explains the complicated building processes of mathematical models and lays out cutting-edge solution protocols. Advanced chapters teach the assembly of complex physical processes using principles of physics, thermodynamics and mathematics. You will learn to optimize decision-making processes applicable to the management of field development and extraction activities. Coverage includes:
-An introduction to reservoir engineering models-Mathematics of reservoir engineering-Reservoir engineering fundamentals-Hydrocarbon fluid models and thermodynamics-Reservoir engineering transport equations-Analytical and numerical reservoir engineering solutions-Proxy and hybrid models in reservoir engineering
Author: Turgay Ertekin, Luis F. Ayala
ISBN-10: 1259585638
ISBN-13: 9781259585630
Publisher: McGraw-Hill Companies
Language: English
Published: 11/01/2018
Pages: 368
Format: Hardcover
Weight: 1.70lbs
Size: 9.40h x 7.50w x 0.90d
Develop, build, and deploy accurate mathematical models for hydrocarbon reservoirs
This practical resource discusses the construction of reservoir models and the implementation of these models in both forward and inverse modes using numerical, analytical, empirical, and artificial intelligence techniques. Written by a pair of experts in the field, Reservoir Engineering Models: Analytical and Numerical Approaches clearly explains the complicated building processes of mathematical models and lays out cutting-edge solution protocols. Advanced chapters teach the assembly of complex physical processes using principles of physics, thermodynamics and mathematics. You will learn to optimize decision-making processes applicable to the management of field development and extraction activities. Coverage includes:
-An introduction to reservoir engineering models-Mathematics of reservoir engineering-Reservoir engineering fundamentals-Hydrocarbon fluid models and thermodynamics-Reservoir engineering transport equations-Analytical and numerical reservoir engineering solutions-Proxy and hybrid models in reservoir engineering
Author: Turgay Ertekin, Luis F. Ayala
ISBN-10: 1259585638
ISBN-13: 9781259585630
Publisher: McGraw-Hill Companies
Language: English
Published: 11/01/2018
Pages: 368
Format: Hardcover
Weight: 1.70lbs
Size: 9.40h x 7.50w x 0.90d
By Turgay Ertekin
xDr. Turgay Ertekin is Professor of Petroleum and Natural Gas Engineering and Head of the John and Willie Leone Family Department of Energy and Mineral Engineering at Pennsylvania State University. He has served as executive editor of the Formation Evaluation Journal and an editor-in-chief of the Journal of Petroleum Explorationand Technology.
Luis F. Ayala is Associate Professor of Petroleum and Natural Gas Engineering and Associate Department Head for Graduate Education of the John and Willie Leone Family Department of Energy and Mineral Engineering at Pennsylvania State University. He is an associate editor for SPE Reservoir Engineering and Evaluation Journal and Journal of Natural Gas Science and Engineering.
Luis F. Ayala is Associate Professor of Petroleum and Natural Gas Engineering and Associate Department Head for Graduate Education of the John and Willie Leone Family Department of Energy and Mineral Engineering at Pennsylvania State University. He is an associate editor for SPE Reservoir Engineering and Evaluation Journal and Journal of Natural Gas Science and Engineering.
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