MARC Record from Library of Congress

LEADER: 02794cam a22003618i 4500
001 2014035660
003 DLC
005 20151203081416.0
008 140908s2015 enk 001 0 eng
010 $a 2014035660
020 $a9781118662755 (hardback)
040 $aDLC$beng$cDLC$erda
042 $apcc
050 00 $aQE33.2.S82$bM37 2015
082 00 $a551.01/5195$223
084 $aSCI031000$2bisacsh
100 1 $aMariethoz, Gregoire,$eauthor.
245 10 $aMultiple-point geostatistics :$bstochastic modeling with training images /$cGregoire Mariethoz and Jef Caers.
263 $a1412
264 1 $aChichester, West Sussex ;$aHoboken, NJ :$bJohn Wiley & Sons Inc.,$c2015.
300 $apages cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
500 $aIncludes index.
520 $a"This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed"--$cProvided by publisher.
520 $a"The topic of this book concerns an area of geostatistics that has commonly been known as multiple-point geostatistics because it uses more than two-point statistics (correlation), traditionally represented by the variogram, to model spatial phenomena"--$cProvided by publisher.
650 0 $aGeology$xStatistical methods.
650 0 $aGeological modeling.
650 7 $aSCIENCE / Earth Sciences / Geology.$2bisacsh
700 1 $aCaers, Jef,$eauthor.
776 08 $iOnline version:$aMariethoz, Gregoire, author.$tMultiple-point geostatistics$dChichester, West Sussex ; Hoboken, NJ : John Wiley & Sons Inc., 2015$z9781118662939$w(DLC) 2014036103
856 42 $3Cover image$uhttp://catalogimages.wiley.com/images/db/jimages/9781118662755.jpg