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Mathematics In Oil Production
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Book Synopsis Mathematical Theory of Oil and Gas Recovery by : P. Bedrikovetsky
Download or read book Mathematical Theory of Oil and Gas Recovery written by P. Bedrikovetsky and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is a pleasure to be asked to write the foreword to this interesting new book. When Professor Bedrikovetsky first accepted my invitation to spend an extended sabbatical period in the Department of Mineral Resources Engineering at Imperial College of Science, Technology and Medicine, I hoped it would be a period of fruitful collaboration. This book, a short course and a variety of technical papers are tangible evidence of a successful stay in the UK. I am also pleased that Professor Bedrikovetsky acted on my suggestion to publish this book with Kluwer as part of the petroleum publications for which I am Series Editor. The book derives much of its origin from the unpublished Doctor of Science thesis which Professor Bedrikovetsky prepared in Russian while at the Gubkin Institute. The original DSc contained a number of discrete publications unified by an analytical mathematics approach to fluid flow in petroleum reservoirs. During his sabbatical stay at Imperial College, Professor Bedrikovetsky has refined and extended many of the chapters and has discussed each one with internationally recognised experts in the field. He received great encouragement and editorial advice from Dr Gren Rowan, who pioneered analytical methods in reservoir modelling at BP for many years.
Book Synopsis Mathematics of Oil Recovery by : Dominique Guerillot
Download or read book Mathematics of Oil Recovery written by Dominique Guerillot and published by Editions TECHNIP. This book was released on 1990-12 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Mildred Gerding Publisher :University of Texas at Austin Petroleum ISBN 13 :9780886980856 Total Pages :267 pages Book Rating :4.9/5 (88 download)
Book Synopsis Applied Mathematics for the Petroleum and Other Industries by : Mildred Gerding
Download or read book Applied Mathematics for the Petroleum and Other Industries written by Mildred Gerding and published by University of Texas at Austin Petroleum. This book was released on 1996-01-01 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The original objective of this book was to "supply a basic reference work to be used principally for review by field employees of the oil and gas industry. The petroleum industry had a definaite need for a comprehensive work that emphasized the application of math to field and shop work." IThis new edition is now geared towards using this book as a rext as well as a reference. - page v.
Book Synopsis Standard Handbook of Petroleum & Natural Gas Engineering by : William C. Lyons
Download or read book Standard Handbook of Petroleum & Natural Gas Engineering written by William C. Lyons and published by Gulf Professional Publishing. This book was released on 1996 with total page 1450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 1 presents the mathematics and general engineering and science of petroleum engineering. It also examines the auxiliary equipment and provides coverage of all aspects of drilling and well completion.
Book Synopsis Reservoir Simulation by : Zhangxin Chen
Download or read book Reservoir Simulation written by Zhangxin Chen and published by SIAM. This book was released on 2007-01-01 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mathematical Methods and Modelling in Hydrocarbon Exploration and Production by : Armin Iske
Download or read book Mathematical Methods and Modelling in Hydrocarbon Exploration and Production written by Armin Iske and published by Springer Science & Business Media. This book was released on 2006-01-27 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hydrocarbon exploration and production incorporate great technology challenges for the oil and gas industry. In order to meet the world's future demand for oil and gas, further technological advance is needed, which in turn requires research across multiple disciplines, including mathematics, geophysics, geology, petroleum engineering, signal processing, and computer science. This book addresses important aspects and fundamental concepts in hydrocarbon exploration and production. Moreover, new developments and recent advances in the relevant research areas are discussed, whereby special emphasis is placed on mathematical methods and modelling. The book reflects the multi-disciplinary character of the hydrocarbon production workflow, ranging from seismic data imaging, seismic analysis and interpretation and geological model building, to numerical reservoir simulation. Various challenges concerning the production workflow are discussed in detail. The thirteen chapters of this joint work, authored by international experts from academic and industrial institutions, include survey papers of expository character as well as original research articles. Large parts of the material presented in this book were developed between November 2000 and April 2004 through the European research and training network NetAGES, "Network for Automated Geometry Extraction from Seismic". The new methods described here are currently being implemented as software tools at Schlumberger Stavanger Research, one of the world's largest service providers to the oil industry.
Book Synopsis Statistical Methods for Estimating Petroleum Resources by : P.J. Lee
Download or read book Statistical Methods for Estimating Petroleum Resources written by P.J. Lee and published by Oxford University Press. This book was released on 2008-05-07 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes procedures for determining the total hydrocarbon (petroleum) resource or resource potential in a region. Statistical concepts and methods employed in petroleum resource assessment are the subject of the manuscript, extensively illustrated by numerous real case studies. Prof. Lee's computer-aided Petroleum Information Management and Resource Evaluation System (PETRIMES) methodology has been adopted by governments around the world and by major multinational oil companies to perform resource assessment and to predict future oil and gas production. Though this methodology is so widely used, there is no "user's guide" to it, and this book will be the definitive resource for PETRIMES users.
Book Synopsis Nodal Analysis of Oil and Gas Production Systems by : Jan Dirk Jansen
Download or read book Nodal Analysis of Oil and Gas Production Systems written by Jan Dirk Jansen and published by . This book was released on 2017 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nodal Analysis of Oil and Gas Production Systems provides a modern view on the use of nodal analysis techniques to optimize the production from oil and gas wells. It covers multiphase flow through flow lines, wells, chokes and the near-well reservoir. It teaches the development of mathematical models for those system elements, and how to implement these in computer code. It explains the underlying physics, starting from first principles whenever possible, and reverting to empirical correlations whenever necessary. It covers the essential concepts in nodal analysis of a well system and aims at.
Book Synopsis Mathematical Geoenergy by : Paul Pukite
Download or read book Mathematical Geoenergy written by Paul Pukite and published by John Wiley & Sons. This book was released on 2019-01-07 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous mathematical problem-solving framework for analyzing the Earth’s energy resources GeoEnergy encompasses the range of energy technologies and sources that interact with the geological subsurface. Fossil fuel availability studies have historically lacked concise modeling, tending instead toward heuristics and overly-complex processes. Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal details leading-edge research based on a mathematically-oriented approach to geoenergy analysis. Volume highlights include: Applies a formal mathematical framework to oil discovery, depletion, and analysis Employs first-order applied physics modeling, decreasing computational resource requirements Illustrates model interpolation and extrapolation to fill out missing or indeterminate data Covers both stochastic and deterministic mathematical processes for historical analysis and prediction Emphasizes the importance of up-to-date data, accessed through the companion website Demonstrates the advantages of mathematical modeling over conventional heuristic and empirical approaches Accurately analyzes the past and predicts the future of geoenergy depletion and renewal using models derived from observed production data Intuitive mathematical models and readily available algorithms make Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal an insightful and invaluable resource for scientists and engineers using robust statistical and analytical tools applicable to oil discovery, reservoir sizing, dispersion, production models, reserve growth, and more.
Book Synopsis The Mathematics of Reservoir Simulation by : Richard E. Ewing
Download or read book The Mathematics of Reservoir Simulation written by Richard E. Ewing and published by SIAM. This book was released on 2014-12-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mathematical Aspects of Production and Distribution of Energy by : Peter D. Lax
Download or read book Mathematical Aspects of Production and Distribution of Energy written by Peter D. Lax and published by American Mathematical Soc.. This book was released on 1977 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mathematical Modeling in Science and Engineering by : Ismael Herrera
Download or read book Mathematical Modeling in Science and Engineering written by Ismael Herrera and published by John Wiley & Sons. This book was released on 2012-03-19 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: A powerful, unified approach to mathematical and computational modeling in science and engineering Mathematical and computational modeling makes it possible to predict the behavior of a broad range of systems across a broad range of disciplines. This text guides students and professionals through the axiomatic approach, a powerful method that will enable them to easily master the principle types of mathematical and computational models used in engineering and science. Readers will discover that this axiomatic approach not only enables them to systematically construct effective models, it also enables them to apply these models to any macroscopic physical system. Mathematical Modeling in Science and Engineering focuses on models in which the processes to be modeled are expressed as systems of partial differential equations. It begins with an introductory discussion of the axiomatic formulation of basic models, setting the foundation for further topics such as: Mechanics of classical and non-classical continuous systems Solute transport by a free fluid Flow of a fluid in a porous medium Multiphase systems Enhanced oil recovery Fluid mechanics Throughout the text, diagrams are provided to help readers visualize and better understand complex mathematical concepts. A set of exercises at the end of each chapter enables readers to put their new modeling skills into practice. There is also a bibliography in each chapter to facilitate further investigation of individual topics. Mathematical Modeling in Science and Engineering is ideal for both students and professionals across the many disciplines of science and engineering that depend on mathematical and computational modeling to predict and understand complex systems.
Book Synopsis Ideas and Methods in Mathematical Analysis, Stochastics, and Applications: Volume 1 by : Sergio Albeverio
Download or read book Ideas and Methods in Mathematical Analysis, Stochastics, and Applications: Volume 1 written by Sergio Albeverio and published by Cambridge University Press. This book was released on 1992-06-26 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of essays by many of the closest co-workers of Raphael Høegh-Krohn.
Book Synopsis Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry by : Jorge Ancheyta
Download or read book Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry written by Jorge Ancheyta and published by John Wiley & Sons. This book was released on 2024-07-25 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the fundamentals of reaction systems modeling for the age of decarbonization Reactor design is one of the most important parts of the oil and gas industry, with reactor processes and the accompanying technologies constantly evolving to meet industry needs. A crucial component of effective reactor design is modelling complex reaction systems, which can help predict commercial performance, shape safety procedures, and more. At a time when decarbonization and clean energy transition are among the fundamental global technological challenges, it has never been more important for engineers to grasp the cutting edge of reaction system modelling. Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry provides a systematic introduction to this timely subject. Each chapter provides a step-by-step description of the kinetic and reactor models for a particular kind of process and its accompanying systems. Backed by voluminous experimental data and incorporating extensive simulation results, the book constitutes an indispensable contribution to the global search for clean energy solutions. Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry readers will also find: All the required tools for developing new reactor models for different reaction scales Detailed discussion of topics including hydrocracking of heavy oils, catalyst deactivation, oxidative regeneration of catalysts, and many more Extensive treatment of both steady-state and dynamic simulations Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry is ideal for chemical and process engineers, computational chemists and modelers, catalysis researchers, and any other researchers or professionals in petrochemical engineering and the oil and gas industry.
Book Synopsis Sand Control in Well Construction and Operation by : Davorin Matanovic
Download or read book Sand Control in Well Construction and Operation written by Davorin Matanovic and published by Springer Science & Business Media. This book was released on 2012-02-21 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Produced sand causes a lot of problems. From that reasons sand production must be monitored and kept within acceptable limits. Sand control problems in wells result from improper completion techniques or changes in reservoir properties. The idea is to provide support to the formation to prevent movement under stresses resulting from fluid flow from reservoir to well bore. That means that sand control often result with reduced well production. Control of sand production is achieved by: reducing drag forces (the cheapest and most effective method), mechanical sand bridging (screens, gravel packs) and increasing of formation strength (chemical consolidation). For open hole completions or with un-cemented slotted liners/screens sand failure will occur and must be predicted. Main problem is plugging. To combat well failures due to plugging and sand breakthrough Water-Packing or Shunt-Packing are used.
Book Synopsis Advanced methods of mathematical modeling and experimental study in oil and gas reservoirs by : Fuyong Wang
Download or read book Advanced methods of mathematical modeling and experimental study in oil and gas reservoirs written by Fuyong Wang and published by Frontiers Media SA. This book was released on 2023-07-05 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning and Data Science in the Oil and Gas Industry by : Patrick Bangert
Download or read book Machine Learning and Data Science in the Oil and Gas Industry written by Patrick Bangert and published by Gulf Professional Publishing. This book was released on 2021-03-04 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)
