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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 The book derives much of its origin from the unpublished Doctor of Science thesis which Professor Bedrikovetsky prepared in Russian while at the Gubkin Institute.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.
Mathematical Theory of Oil and Gas Recovery
Language: en
Pages: 576
Authors: P. Bedrikovetsky
Categories: Science
Type: BOOK - Published: 2013-04-17 - Publisher: Springer Science & Business Media

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
Mathematical Theory of Oil and Gas Recovery
Language: en
Pages: 600
Authors: Pavel Bedrikovetsky
Categories: Science
Type: BOOK - Published: 2014-01-15 - Publisher: Springer

This book comprises a new mathematical study of multiphase multicomponent flows in heterogeneous porous media. The goal is to develop analytical models of the recovery processes from heterogeneous reservoirs based on the exact analytical solutions of equations of flow in porous media. The analytical models developed describe chemical and hot
Technologies and Mathematical Modeling of Fines-assisted Oil and Gas Recovery
Language: en
Pages: 196
Authors: Abbas Zeinijahromi
Categories: Enhanced oil recovery
Type: BOOK - Published: 2012 - Publisher:

This is a PhD thesis by publication. It includes seven published/accepted for publication journal papers and two submitted papers in academic peer reviewed journals. The content of the thesis is also published in ten full volume technical papers of Society of Petroleum Engineering (SPE). The thesis develops a theory for
Machine Learning Guide for Oil and Gas Using Python
Language: en
Pages: 476
Authors: Hoss Belyadi, Alireza Haghighat
Categories: Computers
Type: BOOK - Published: 2021-04-09 - Publisher: Gulf Professional Publishing

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works
Handbook of Nonlinear Partial Differential Equations
Language: en
Pages: 840
Authors: Andrei D. Polyanin, Valentin F. Zaitsev
Categories: Mathematics
Type: BOOK - Published: 2004-06-02 - Publisher: CRC Press

The Handbook of Nonlinear Partial Differential Equations is the latest in a series of acclaimed handbooks by these authors and presents exact solutions of more than 1600 nonlinear equations encountered in science and engineering--many more than any other book available. The equations include those of parabolic, hyperbolic, elliptic and other