Artificial intelligent approaches in petroleum geosciences [electronic resource] / Constantin Cranganu, Henri Luchian, Mihaela Elena Breaban, editors.
Cranganu, Constantin, editor.; Luchian, Henri, editor.; Breaban, Mihaela Elena, editor.
2015
TN870.5
Available Online

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Title Artificial intelligent approaches in petroleum geosciences [electronic resource] / Constantin Cranganu, Henri Luchian, Mihaela Elena Breaban, editors.
ISBN 9783319165318 electronic book
3319165313 electronic book
9783319165301
DOI https://doi.org/10.1007/978-3-319-16531-8
Published Cham : Springer, 2015.
Language English
Description 1 online resource (xii, 290 pages) : illustrations.
Item Number 10.1007/978-3-319-16531-8 doi
Call Number TN870.5
Dewey Decimal Classification 662.60285/63
Summary This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, whilst also emphasizing essential parameters such as robustness, accuracy, speed of convergence, computer time, overlearning and the role of normalization. The intelligent approaches presented include artificial neural networks, fuzzy logic, active learning method, genetic algorithms and support vector machines, amongst others. Integration, handling data of immense size and uncertainty, and dealing with risk management are among crucial issues in petroleum geosciences. The problems we have to solve in this domain are becoming too complex to rely on a single discipline for effective solutions, and the costs associated with poor predictions (e.g. dry holes) increase. Therefore, there is a need to establish a new approach aimed at proper integration of disciplines (such as petroleum engineering, geology, geophysics, and geochemistry), data fusion, risk reduction, and uncertainty management. These intelligent techniques can be used for uncertainty analysis, risk assessment, data fusion and mining, data analysis and interpretation, and knowledge discovery, from diverse data such as 3-D seismic, geological data, well logging, and production data. This book is intended for petroleum scientists, data miners, data scientists and professionals and post-graduate students involved in petroleum industry.
Note Includes index.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 24, 2015).
Added Author Cranganu, Constantin, editor.
Luchian, Henri, editor.
Breaban, Mihaela Elena, editor.
Available in Other Form Print version: 9783319165301
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