大葉大學圖書館 |

Multiple-point geostatistics[electronic resource] :stochastic modeling with training images /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	551.01/5195
書名/作者:	Multiple-point geostatistics : stochastic modeling with training images // Gregoire Mariethoz, Jef Caers.
作者:	Mariethoz, Gregoire.
其他作者:	Caers, Jef.
出版者:	Chichester, West Sussex ; : John Wiley & Sons, Ltd,, 2015.
面頁冊數:	1 online resource (xi, 364 p.) : : ill. (some col.)
標題:	Geology - Statistical methods.
標題:	Geological modeling.
ISBN:	9781118662946 (electronic bk.)
ISBN:	1118662946 (electronic bk.)
ISBN:	9781118662953 (electronic bk.)
ISBN:	1118662954 (electronic bk.)
書目註:	Includes bibliographical references and index.
摘要、提要註:	"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"--
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118662953

Multiple-point geostatistics[electronic resource] :stochastic 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:

613988
Geology
--Statistical methods.

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

Dewey Class. No.: 551.01/5195

Multiple-point geostatistics[electronic resource] :stochastic modeling with training images /
LDR:02651cam a2200325 i 4500 001 437360
003 OCoLC
005 20150209045314.0
006 m o d
007 cr |||||||||||
008 160125s2015 enka ob 001 0 eng
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 623732
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 613988
650 0 $a Geological modeling. $3 623734
700 1 $a Caers, Jef. $3 623733
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118662953