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Geostatistical Reservoir Modeling (Hardcover, 2nd Revised edition): Michael J. Pyrcz, Clayton V. Deutsch Geostatistical Reservoir Modeling (Hardcover, 2nd Revised edition)
Michael J. Pyrcz, Clayton V. Deutsch
R3,609 Discovery Miles 36 090 Ships in 12 - 17 working days

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 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 cosimulation receive 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 data sources, surface-based, advanced object-based, event-based and multiple point-based simulation, and spatial boot-strap.

Mineral Resource Estimation (Hardcover, 2012): Mario E. Rossi, Clayton V. Deutsch Mineral Resource Estimation (Hardcover, 2012)
Mario E. Rossi, Clayton V. Deutsch
R2,340 R2,174 Discovery Miles 21 740 Save R166 (7%) Ships in 9 - 15 working days

Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need.

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