Principles of Applied Reservoir Simulation PDF Download
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Author: John R. Fanchi
Publisher: Elsevier
ISBN: 0750679336
Category : Business & Economics
Languages : en
Pages : 530
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Book Description
Simulate reservoirs effectively to extract the maximum oil, gas and profit, with this book and free simlation software on companion web site.
Author: John R. Fanchi
Publisher: Elsevier
ISBN: 0750679336
Category : Business & Economics
Languages : en
Pages : 530
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Book Description
Simulate reservoirs effectively to extract the maximum oil, gas and profit, with this book and free simlation software on companion web site.
Author: Turgay Ertekin
Publisher:
ISBN: 9781555630898
Category : Technology & Engineering
Languages : en
Pages : 406
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Book Description
Author: Leonard F Koederitz
Publisher: World Scientific
ISBN: 9814480789
Category : Science
Languages : en
Pages : 214
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Book Description
Reservoir simulation, or modeling, is one of the most powerful techniques currently available to the reservoir engineer. The author, Prof Leonard F Koederitz, (Distinguished Teaching Professor Emeritus at the University of Missouri-Rolla) is a highly notable author and teacher, with many teaching awards. This book has been developed over his twenty years in teaching to undergraduate petroleum engineering students, with the knowledge that they would in all likelihood be model-users, not developers.Most other books on reservoir simulation deal with simulation theory and development. For this book, however, the author has performed model studies and debugged user problems; while many of these problems were actual model errors (especially early on), a fair number of the discrepancies resulted from a lack of understanding of the simulator capabilities, or inappropriate data manipulation. The book reflects changes in both simulation concepts and philosophy over the years, by staying with “tried and true” simulation practices as well as exploring new methods which could be useful in applied modeling.
Author: Knut-Andreas Lie
Publisher: Cambridge University Press
ISBN: 1108492436
Category : Business & Economics
Languages : en
Pages : 677
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Book Description
Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. This title is also available as Open Access on Cambridge Core.
Author: Turgay Ertekin
Publisher:
ISBN: 9781613996935
Category : Oil reservoir engineering
Languages : en
Pages : 620
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Book Description
Reservoir simulation has been in practice for more than 50 years, but it has recently gained significant momentum because of its wider application to the increasingly complex reservoir systems of today. Reservoir Simulation: Problems and Solutions provides petroleum engineers with extensive practice in the art of problem solving, strengthening their critical-thinking solution strategies and preparing them for the unique problems they will encounter in this dynamic field. Built on the fundamental concepts and solutions of the original exercises found in Basic Applied Reservoir Simulation (Turgay Ertekin, Jamal H. Abou-Kassem, and Gregory R. King), this new book provides an additional 180 exercises and solutions that fully illustrate the intricacies of reservoir-simulation methodology. Turgay Ertekin is Professor Emeritus of Petroleum and Natural Gas Engineering at the Pennsylvania State University, where he has been a member of the faculty for more than 40 years. Qian Sun is a research engineer at New Mexico Institute of Mining and Technology. His research focuses mainly on numerical reservoir simulation and artificial-intelligence applications in reservoir Engineering. Jian Zhang is a PhD graduate at Penn State. His research focuses on rate- and pressure-transient analysis, numerical reservoir simulation, artificial neural networks and neuro-simulation.
Author: Shuyu Sun
Publisher: Gulf Professional Publishing
ISBN: 0128209623
Category : Science
Languages : en
Pages : 342
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Book Description
Reservoir Simulation: Machine Learning and Modeling helps the engineer step into the current and most popular advances in reservoir simulation, learning from current experiments and speeding up potential collaboration opportunities in research and technology. This reference explains common terminology, concepts, and equations through multiple figures and rigorous derivations, better preparing the engineer for the next step forward in a modeling project and avoid repeating existing progress. Well-designed exercises, case studies and numerical examples give the engineer a faster start on advancing their own cases. Both computational methods and engineering cases are explained, bridging the opportunities between computational science and petroleum engineering. This book delivers a critical reference for today's petroleum and reservoir engineer to optimize more complex developments. - Understand commonly used and recent progress on definitions, models, and solution methods used in reservoir simulation - World leading modeling and algorithms to study flow and transport behaviors in reservoirs, as well as the application of machine learning - Gain practical knowledge with hand-on trainings on modeling and simulation through well designed case studies and numerical examples.
Author: Richard E. Ewing
Publisher: SIAM
ISBN: 0898716624
Category : Science
Languages : en
Pages : 195
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Book Description
This book describes the state of the art of the mathematical theory and numerical analysis of imaging. Some of the applications covered in the book include computerized tomography, magnetic resonance imaging, emission tomography, electron microscopy, ultrasound transmission tomography, industrial tomography, seismic tomography, impedance tomography, and NIR imaging.
Author: D.W. Peaceman
Publisher: Elsevier
ISBN: 0080868606
Category : Technology & Engineering
Languages : en
Pages : 191
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Book Description
The use of numerical reservoir simulation with high-speed electronic computers has gained wide acceptance throughout the petroleum industry for making engineering studies of a wide variety of oil and gas reservoirs throughout the world. These reservoir simulators have been designed for use by reservoir engineers who possess little or no background in the numerical mathematics upon which they are based. In spite of the efforts to improve numerical methods to make reservoir simulators as reliable, efficient, and automatic as possible, the user of a simulator is faced with a myriad of decisions that have nothing to do with the problem to be solved. This book combines a review of some basic reservoir mechanics with the derivation of the differential equations that reservoir simulators are designed to solve.
Author: Zhangxin Chen
Publisher: SIAM
ISBN: 0898717078
Category : Mathematics
Languages : en
Pages : 244
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Book Description
Beginning with an overview of classical reservoir engineering and basic reservoir simulation methods, this book then progresses through a discussion of types of flows - single-phase, two-phase, black oil (three-phase), single phase with multi-components, compositional, and thermal. The author provides a thorough glossary of petroleum engineering terms and their units, along with basic flow and transport equations and their unusual features, and corresponding rock and fluid properties. The book also summarises the practical aspects of reservoir simulation, such as data gathering and analysis, and reservoir performance prediction. Suitable as a text for advanced undergraduate and first-year graduate students in geology, petroleum engineering, and applied mathematics; as a reference book; or as a handbook for practitioners in the oil industry. Prerequisites are calculus, basic physics, and some knowledge of partial differential equations and matrix algebra.
Author: Stanislav Ursegov
Publisher: Springer Nature
ISBN: 3030674746
Category : Science
Languages : en
Pages : 91
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Book Description
This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
