Geostatistical Reservoir Modeling

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Michael J. Pyrcz (Research Scientist, Research Scientist, Chevron Energy Technology Company) Clayton V. Deutsch (Professor, Professor, University of Alberta)

Geostatistical Reservoir Modeling

Michael J. Pyrcz (Research Scientist, Research Scientist, Chevron Energy Technology Company), Clayton V. Deutsch (Professor, Professor, University of Alberta)

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English

Oxford University Press Inc
29 May 2014

Probability & statistics; Mathematical modelling; Economic geology

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 was received well by professionals, academics, and both graduate and undergraduate students.

In this revised second edition, Deutsch collaborates with co-author Michael Pyrcz to provide an expanded (in coverage and format), full color illustrated, more comprehensive treatment of the subject with a full update on the latest tools, methods, practice, and research in the field of petroleum Geostatistics. Key geostatistical concepts such as integration of geologic data and concepts, scale considerations, and uncertainty models receive greater attention, and new comprehensive sections are provided on preliminary geological modeling concepts, data inventory, conceptual model, problem formulation, large scale modeling, multiple point-based simulation and event-based modeling.

Geostatistical methods are extensively illustrated through enhanced schematics, work flows and examples with discussion on method capabilities and selection.

For example, this expanded second edition includes extensive discussion on the process of moving from an inventory of data and concepts through conceptual model to problem formulation to solve practical reservoir problems.

A greater number of examples are included, with a set of practical geostatistical studies developed to illustrate the steps from data analysis and cleaning to post-processing, and ranking.

New methods, which have developed in the field since the publication of the first edition, are discussed, such as models for integration of diverse data sources, multiple point-based simulation, event-based simulation, spatial bootstrap and methods to summarize geostatistical realizations.

By: Michael J. Pyrcz (Research Scientist Research Scientist Chevron Energy Technology Company), Clayton V. Deutsch (Professor, Professor, University of Alberta)
Imprint: Oxford University Press Inc
Country of Publication: United States
Edition: 2nd Revised edition
Dimensions: Height: 257mm, Width: 178mm, Spine: 28mm
Weight: 1.021kg
ISBN: 9780199731442
ISBN 10: 0199731446
Pages: 448
Publication Date: 29 May 2014
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

1. Introduction 2. Modeling Principles 3. Modeling Prerequisites 4. Modeling Methods 5. Model Applications 6. Special Topics Glossary and Notation Bibliography Index

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. Michael Pyrcz is a Research Scientist at Chevron Energy Technology Company.