Multiple-Point Geostatistics: Stochastic Modeling With Training Images - Rilegato

Mariethoz, Gregoire; Caers, Jef

Rilegato

ISBN 10: 111866275X ISBN 13: 9781118662755

Casa editrice: Blackwell Pub, 2014

Riassunto

This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed.

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Informazioni sugli autori

Gregoire Mariethoz is Professor Assistant at the Faculty of Geosciences and Environment of the University of Lausanne, Switzerland, and Adjunct Senior Lecturer in Water Resources Engineering at the University of New South Wales, Australia.

Jef Caers is Professor of Energy Resources Engineering at Stanford University, USA and Director of the Stanford Center for Reservoir Forecasting. His previous book publications include Petroleum Geostatistics (SPE) and Modeling Uncertainty in the Earth Sciences (Wiley-Blackwell).

Gregoire Mariethoz is Assistant Professor at the Faculty of Geosciences and Environment at the University of Lausanne, Switzerland, and Adjunct Senior Lecturer in Water Resources Engineering at the University of New South Wales, Australia.
Jef Caers is Professor of Energy Resources Engineering at Stanford University, USA, and Director of the Stanford Center for Reservoir Forecasting. His previous book publications include Petroleum Geostatistics (SPE) and Modeling Uncertainty in the Earth Sciences (Wiley-Blackwell).

Dettagli dell'edizione

• Editore: Blackwell Pub
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 111866275X
• ISBN 13: 9781118662755
• Rilegatura: Copertina rigida
• Numero di pagine: 364
• Contatto del produttore: non disponibile
• Persona responsabile: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Germania