Pyrcz michael j (23 risultati)

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics. Num Pages: 448 pages, 323 illustrations. BIC Classification: PBT; PBWH; RBGL. Category: (G) General (US: Trade). Dimension: 260 x 189 x 26. Weight in Grams: 1098. . 2014. 2 Rev ed. Hardback. . . . . …

Hardback. Condizione: New. Second. 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. …

Condizione: New. A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics. Num Pages: 448 pages, 323 illustrations. BIC Classification: PBT; PBWH; RBGL. Category: (G) General (US: Trade). Dimension: 260 x 189 x 26. Weight in Grams: 1098. . 2014. 2 Rev ed. Hardback. . . . . Books ship from the US and Ireland. …

Hardback. Condizione: New. Second. 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. …

Hardcover. Condizione: Brand New. 2nd edition. 433 pages. 10.00x7.00x1.00 inches. In Stock.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 504 pp. Englisch.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is an edited volume presenting current principles, methods, and case studies in spatiotemporal data analytics for beginning to intermediate practitioners. It emphasizes practical workflows drawn from multiple disciplines and is intended as a guide for readers seeking to better understand the tools, technologies, and decision-making processes involved in building spatial and spatiotemporal models that incorporate both statistical and machine-learning approaches.The volume is not a textbook on the mathematical foundations of spatial or temporal modeling, nor does it attempt a comprehensive review of theoretical development. Instead, it focuses on practical insight-explaining and demonstrating why particular approaches are used, how they are implemented, and where their limitations lie. Contributions span petroleum and mining, environmental geoscience, tectonics, geothermal systems, forestry, and power-grid analysis, reflecting the broad applicability of spatiotemporal analytics across scientific and engineering domains.A dedicated section of the book addresses geoinformatics and the integrated use of widely adopted scripting languages, such as Python and R, in modern spatiotemporal and geostatistical workflows. System configurations and code examples illustrate data aggregation, analysis, simulation, and management in reproducible, transparent environments. Most chapters intentionally rely on open-source tools, with workflows shown in full to encourage accessibility and to promote a 'check-the-code' approach to skill development.Readers should be able to follow the examples and adapt the demonstrated workflows to their own projects. The aim of the book is not to produce experts, but to provide an introduction-or a practical boost-to the concepts, language, and coding practices that support effective collaboration with computer scientists, data scientists, and fellow modelers. While additional material could have been included, the chapters are deliberately concise, encouraging readers to engage more deeply with the extensive literature cited throughout the volume.…

Hardcover. Condizione: new. Hardcover. This book is an edited volume presenting current principles, methods, and case studies in spatiotemporal data analytics for beginning to intermediate practitioners. It emphasizes practical workflows drawn from multiple disciplines and is intended as a guide for readers seeking to better understand the tools, technologies, and decision-making processes involved in building spatial and spatiotemporal models that incorporate both statistical and machine-learning approaches.The volume is not a textbook on the mathematical foundations of spatial or temporal modeling, nor does it attempt a comprehensive review of theoretical development. Instead, it focuses on practical insightexplaining and demonstrating why particular approaches are used, how they are implemented, and where their limitations lie. Contributions span petroleum and mining, environmental geoscience, tectonics, geothermal systems, forestry, and power-grid analysis, reflecting the broad applicability of spatiotemporal analytics across scientific and engineering domains.A dedicated section of the book addresses geoinformatics and the integrated use of widely adopted scripting languages, such as Python and R, in modern spatiotemporal and geostatistical workflows. System configurations and code examples illustrate data aggregation, analysis, simulation, and management in reproducible, transparent environments. Most chapters intentionally rely on open-source tools, with workflows shown in full to encourage accessibility and to promote a 'check-the-code approach to skill development.Readers should be able to follow the examples and adapt the demonstrated workflows to their own projects. The aim of the book is not to produce experts, but to provide an introductionor a practical boostto the concepts, language, and coding practices that support effective collaboration with computer scientists, data scientists, and fellow modelers. While additional material could have been included, the chapters are deliberately concise, encouraging readers to engage more deeply with the extensive literature cited throughout the volume. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 504 pp. Englisch.

Buch. Condizione: Neu. Applied Spatiotemporal Data Analytics and Machine Learning | Marko Maucec (u. a.) | Buch | Englisch | 2026 | IntechOpen | EAN 9781839685019 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Condizione: New. Print on Demand pp. 448 Index 2nd Edition.

Buch. Condizione: Neu. Geostatistical Reservoir Modeling | Michael J Pyrcz (u. a.) | Buch | Gebunden | Englisch | 2014 | Oxford University Press | EAN 9780199731442 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Condizione: New. Print on Demand pp. 448 323 Illus.

Condizione: New. PRINT ON DEMAND pp. 448.