Applied Geostatistics S.
1 total work
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.
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.