Geostatistical Reservoir Modeling

Hardcover | May 28, 2014

byMichael J. Pyrcz, Clayton V. Deutsch

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Published in 2002, the first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasized the interaction between geophysicists, geologists, and engineers, and wasreceived well by professionals, academics, and both graduate and undergraduate students.In this revised second edition, Deutsch collaborates with co-author Michael Pyrcz to provide a full update on the latest tools, methods, practice, and research in the field of petroleum Geostatistics. Key geostatistical concepts such as integration of production data, scale-up, and cosimulationreceive greater attention, and new topics like model checking, multiple point simulation, and production data integration are included in detail. Geostatistical methods are extensively illustrated through enhanced schematics, work flows and examples. A greater number of examples also are included,such as the integration of a single geostatistical study developed from data analysis and cleaning to post-processing, ranking and flow simulation. New methods, which have developed in the field since the publication of the first edition, are discussed, such as models for integration of diverse datasources, surface-based, advanced object-based, event-based and multiple point-based simulation, and spatial boot-strap.

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From the Publisher

Published in 2002, the first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasized the interaction between geophysicists, geologists, and engineers, and wasreceived well by professionals, academics, and...

Michael Pyrcz is a Research Scientist at Chevron Energy Technology Company. Clayton Deutsch is a professor in the School of Mining and Petroleum Engineering, in the Department of Civil and Environmental Engineering at the University of Alberta.
Format:HardcoverDimensions:448 pages, 10 × 7 × 0.98 inPublished:May 28, 2014Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199731446

ISBN - 13:9780199731442

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Table of Contents

1. Introduction2. Modeling Principles3. Modeling Prerequisites4. Modeling Methods5. Model Applications6. Special TopicsGlossary and NotationBibliographyIndex