Synopsis
A step-by-step user guide to geostatistical modeling for Earth Science graduates and researchers, and professional practitioners.
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About the Author
Nicolas Remy received a BS in Mathematics and Physics from Ecole Nationale Superieure des Mines, Nancy, France, a MS in Petroleum Engineering from Stanford University and a PhD in geostatistics from Stanford University. He is currently a Senior Statistician at Yahoo!, leading the Data Mining and User Behavior Modeling group for the Yahoo! Media and Yahoo Communications and Communities business units. His research interests include multiple-points statistics, machine learning, graph theory and data mining. Alexandre Boucher received a B.Eng. in geological engineering from the Ecole Polytechnique de Montreal, Montreal, QC, Canada, an M.Phil. degree from the University of Queensland, Brisbane, Australia, and a Ph.D. from Stanford University, Stanford, CA. He teaches geostatistics in the Department of Environmental Earth System Sciences, Stanford University. He has taught short courses on the subject in the US and Japan. His research interests include geostatistics, data integration, remote sensing, uncertainty modeling, machine learning and probabilistic modeling of spatio-temporal phenomena. Jianbing Wu is a reservoir engineer with the Applied Reservoir Engineering group at ConocoPhillips. His research focuses on static and dynamic reservoir modeling. He received his Ph.D. in Petroleum Engineering in 2007 from Stanford University, and his ME and BS degrees in Mechanical Engineering from University of Science and Technology of China. He is currently a member of SPE, IAMG and SEG.
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Applied Geostatistcs with Sgems A User's Guide
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Cambridge University Press, Cambridge, 2011
ISBN 10: 1107403243
ISBN 13: 9781107403246
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Paperback. Condition: Very Good+. Cover corners are lightly bumped; front cover down long edge has a slight bend; various page corners are creased. ; Standford Geostatistical Modeling Software (SGeMS). Provides step-by-step instructions to using SGeMS algorithms, while explaining the underlying theory, demonstrates the implementation of the various algorithms, discusses their potential limitations, and helps the user make informed decisions about the choice of one algorithm over another. ; 6 3/4 x 9 3/4"; 264 pages. Seller Inventory # 114054
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Applied Geostatistics with SGeMS: A User's Guide
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Cambridge University Press, 2011
ISBN 10: 1107403243
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Applied Geostatistics with SGeMS: A User's Guide
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ISBN 10: 1107403243
ISBN 13: 9781107403246
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_447986276
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Applied Geostatistics with SGeMS: A User's Guide
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ISBN 10: 1107403243
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Applied Geostatistics with SGeMS: A User's Guide
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Applied Geostatistics with SGeMS: A User's Guide
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Applied Geostatistics with SGeMS: A User's Guide
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Applied Geostatistics with SGeMS: A User's Guide
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Paperback. Condition: Brand New. reprint edition. 264 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand. Seller Inventory # __1107403243
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Applied Geostatistics with SGeMS (Paperback)
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ISBN 10: 1107403243
ISBN 13: 9781107403246
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Paperback. Condition: new. Paperback. The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from , this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering. This practical book provides a detailed guide to using algorithms from the Stanford Geostatistical Modeling Software (SGeMS), an open-source computer package for solving problems involving spatially related variables. Accompanied by a CD with the software, it's a useful user-guide for Earth Science graduates, and practitioners of environmental and petroleum engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781107403246
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Applied Geostatistics with SGeMS: A User's Guide
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