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Multiple-point geostatisticsstochast...

Caers, Jef.

Multiple-point geostatisticsstochastic modeling with training images /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multiple-point geostatisticsGregoire Mariethoz, Jef Caers.
Reminder of title:	stochastic modeling with training images /
Author:	Mariethoz, Gregoire.
other author:	Caers, Jef.
Published:	Chichester, West Sussex ;John Wiley & Sons, Ltd,2015.
Description:	1 online resource (xi, 364 p.) :ill. (some col.)
Subject:	GeologyStatistical methods.
Online resource:	http://onlinelibrary.wiley.com/book/10.1002/9781118662953
ISBN:	9781118662946 (electronic bk.)

Multiple-point geostatisticsstochastic modeling with training images /
Mariethoz, Gregoire.

Multiple-point geostatisticsstochastic modeling with training images /[electronic resource] :Gregoire Mariethoz, Jef Caers. - Chichester, West Sussex ;John Wiley & Sons, Ltd,2015. - 1 online resource (xi, 364 p.) :ill. (some col.)

Includes bibliographical references and index.

"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"--

ISBN: 9781118662946 (electronic bk.)

LCCN: 2014036103Subjects--Topical Terms:

191971
Geology
--Statistical methods.

LC Class. No.: QE33.2.S82 / M37 2015

Dewey Class. No.: 551.01/5195

Multiple-point geostatisticsstochastic modeling with training images /
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010 $a 2014036103
020 $a 9781118662946 (electronic bk.)
020 $a 1118662946 (electronic bk.)
020 $a 9781118662953 (electronic bk.)
020 $a 1118662954 (electronic bk.)
020 $z 9781118662755 (hardback)
020 $z 111866275X (hardback)
035 $a (OCoLC)890377887
035 $a ocn890377887
040 $a DLC $b eng $c DLC $d YDX $d N $d YDXCP $d OCLCQ
050 1 0 $a QE33.2.S82 $b M37 2015
082 0 0 $a 551.01/5195 $2 23
100 1 $a Mariethoz, Gregoire. $3 722146
245 1 0 $a Multiple-point geostatistics $h [electronic resource] : $b stochastic modeling with training images / $c Gregoire Mariethoz, Jef Caers.
260 $a Chichester, West Sussex ; $a Hoboken, NJ : $b John Wiley & Sons, Ltd, $c 2015.
300 $a 1 online resource (xi, 364 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
520 $a "The topic of this book concerns an area of geostatistics that has commonly been known as multiple-point geostatistics because it uses more than two-point statistics (correlation), traditionally represented by the variogram, to model spatial phenomena"-- $c Provided by publisher.
588 0 $a Online resource; title from digital title page (viewed on November 12, 2014).
650 0 $a Geology $x Statistical methods. $3 191971
650 0 $a Geological modeling. $3 485223
700 1 $a Caers, Jef. $3 722147
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118662953