Applied Mathematics for Petroleum Industry
Author : University of Texas. Petroleum Extension Service
Publisher :
Page : 214 pages
File Size : 38,79 MB
Release : 1948
Category : Mathematics
ISBN :
Author : University of Texas. Petroleum Extension Service
Publisher :
Page : 214 pages
File Size : 38,79 MB
Release : 1948
Category : Mathematics
ISBN :
Author : Will L. McNair
Publisher :
Page : pages
File Size : 15,6 MB
Release : 2019
Category : Mathematics
ISBN : 9780886982843
Author : Mildred Gerding
Publisher : University of Texas at Austin Petroleum
Page : 267 pages
File Size : 39,60 MB
Release : 1996-01-01
Category : Technology & Engineering
ISBN : 9780886980856
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.
Author : Zhangxin Chen
Publisher : SIAM
Page : 244 pages
File Size : 21,20 MB
Release : 2007-01-01
Category : Mathematics
ISBN : 0898717078
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 : William C. Lyons
Publisher : Gulf Professional Publishing
Page : 1450 pages
File Size : 44,22 MB
Release : 1996
Category : Technology & Engineering
ISBN : 0884156427
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.
Author : P. Bedrikovetsky
Publisher : Springer Science & Business Media
Page : 596 pages
File Size : 36,1 MB
Release : 2013-04-17
Category : Science
ISBN : 9401722056
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.
Author : Xinpu Shen
Publisher : CRC Press
Page : 247 pages
File Size : 19,2 MB
Release : 2011-10-19
Category : Science
ISBN : 1439870551
Modern petroleum and petrotechnical engineering is increasingly challenging due to the inherently scarce and decreasing number of global petroleum resources. Exploiting these resources efficiently will require researchers, scientists, engineers and other practitioners to develop innovative mathematical solutions to serve as basis for new asset deve
Author : Richard E. Ewing
Publisher : SIAM
Page : 195 pages
File Size : 38,75 MB
Release : 2014-12-01
Category : Science
ISBN : 0898716624
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 : Patrick Bangert
Publisher : Gulf Professional Publishing
Page : 290 pages
File Size : 43,81 MB
Release : 2021-03-04
Category : Science
ISBN : 0128209143
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)
Author : Beatrice Riviere
Publisher : SIAM
Page : 201 pages
File Size : 25,26 MB
Release : 2008-12-18
Category : Mathematics
ISBN : 089871656X
Focuses on three primal DG methods, covering both theory and computation, and providing the basic tools for analysis.