Multiple-point geostatistics: stochastic modeling with training images
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Chichester
Wiley Blackwell
2015
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| Subjects: | |
| Online Access: | Klappentext Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | XI, 364 S. Ill., graph. Darst. |
| ISBN: | 9781118662755 |
Staff View
MARC
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| 650 | 4 | |a Geological modeling | |
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| 650 | 4 | |a Geologie | |
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Record in the Search Index
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| adam_text | This book provides a comprehensive introduction to multiple-point geostatistics, where spatial
continuity is described using training images. Multiple- aims at bridging the
gap between physical modeling-realism and spatiotemporal stochastic modeling. 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 modeling 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 nonstationary and multivariate modeling, consistency between data and model,
the construction of training images, and inverse modeling are treated. Part III covers three example
application areas, namely, reservoir modeling, mineral resources modeling, 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 spatiotemporal data is performed.
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).
This book is accompanied by a website with a collection of training images and example test
J52S cases at www.trainingimages.org. The website also includes a reference list per chapter.
QDo
Powerpoint slides of all figures in the book can also be accessed and downloaded at
www.wiley.com/go/caers/multiplepointgeostatistics.
Contents
Preface, vii
Acknowledgments, xi
Part I Concepts
1.1 Hiking in the Sierra Nevada, 3
1.2 Spatial estimation based on random function theory, 7
1.3 Universal kriging with training images, 29
1.4 Stochastic simulations based on random function theory, 49
1.5 Stochastic simulation without random function theory, 59
1.6 Returning to the Sierra Nevada, 75
Part II Methods
11.1 Introduction, 87
11.2 The algorithmic building blocks, 91
11.3 Multiple-point geostatistics algorithms, 155
11.4 Markov random fields, 173
11.5 Nonstationary modeling with training images, 183
11.6 Multivariate modeling with training images, 199
11.7 Training image construction, 221
11.8 Validation and quality control, 2 39
11.9 Inverse modeling with training images, 259
II. 10 Parallelization, 295
Part III Applications
III. 1 Reservoir forecasting - the West Coast of Africa (WCA) reservoir, 303
111.2 Geological resources modeling in mining, 329
Coauthored by Cristian Pérez, Julian M. Ortiz, €9- Alexandre Boucher
111.3 Climate modeling application - the case of the Murray-Darling
Basin, 345
Index, 361
v
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| isbn | 9781118662755 |
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| spelling | Mariethoz, Gregoire Verfasser aut Multiple-point geostatistics stochastic modeling with training images Gregoire Mariethoz ; Jef Caers Chichester Wiley Blackwell 2015 XI, 364 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Geology / Statistical methods Geological modeling SCIENCE / Earth Sciences / Geology bisacsh Geologie Geowissenschaften Geostatistik (DE-588)4020279-3 gnd rswk-swf Geostatistik (DE-588)4020279-3 s DE-604 Caers, Jef Verfasser aut Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027721347&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027721347&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Mariethoz, Gregoire Caers, Jef Multiple-point geostatistics stochastic modeling with training images Geology / Statistical methods Geological modeling SCIENCE / Earth Sciences / Geology bisacsh Geologie Geowissenschaften Geostatistik (DE-588)4020279-3 gnd |
| subject_GND | (DE-588)4020279-3 |
| title | Multiple-point geostatistics stochastic modeling with training images |
| title_auth | Multiple-point geostatistics stochastic modeling with training images |
| title_exact_search | Multiple-point geostatistics stochastic modeling with training images |
| title_full | Multiple-point geostatistics stochastic modeling with training images Gregoire Mariethoz ; Jef Caers |
| title_fullStr | Multiple-point geostatistics stochastic modeling with training images Gregoire Mariethoz ; Jef Caers |
| title_full_unstemmed | Multiple-point geostatistics stochastic modeling with training images Gregoire Mariethoz ; Jef Caers |
| title_short | Multiple-point geostatistics |
| title_sort | multiple point geostatistics stochastic modeling with training images |
| title_sub | stochastic modeling with training images |
| topic | Geology / Statistical methods Geological modeling SCIENCE / Earth Sciences / Geology bisacsh Geologie Geowissenschaften Geostatistik (DE-588)4020279-3 gnd |
| topic_facet | Geology / Statistical methods Geological modeling SCIENCE / Earth Sciences / Geology Geologie Geowissenschaften Geostatistik |
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