Overview
- Ground breaking work of genuine interest to oil and gas industry
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 7)
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About this book
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.
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Methods and Modelling in Hydrocarbon Exploration and Production
Editors: Armin Iske, Trygve Randen
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/b137702
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-22536-2Published: 13 December 2004
Softcover ISBN: 978-3-642-06139-4Published: 22 October 2010
eBook ISBN: 978-3-540-26493-4Published: 27 January 2006
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XII, 452
Topics: Computational Mathematics and Numerical Analysis, Computer Applications in Chemistry, Earth Sciences, general, Image Processing and Computer Vision, Theoretical, Mathematical and Computational Physics, Mathematical and Computational Engineering