{"product_id":"9781118662755","title":"Multiple-point Geostatistics Stochastic Modeling with Training Images","description":"\u003ch1\u003eMultiple-point Geostatistics\u003c\/h1\u003e\u003ch2\u003eStochastic Modeling with Training Images\u003c\/h2\u003e\u003ch3\u003eGregoire Mariethoz | Jef Caers\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eScience \/ Earth Sciences \/ Geology\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eThis 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.\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eGregoire Mariethoz\u003c\/b\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJef Caers\u003c\/b\u003e is Professor of Energy Resources Engineering at Stanford University, USA and Director of the Stanford Center for Reservoir Forecasting. His previous book publications include \u003ci\u003ePetroleum Geostatistics\u003c\/i\u003e (SPE) and \u003ci\u003eModeling Uncertainty in the Earth Sciences\u003c\/i\u003e (Wiley-Blackwell).\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e09 January 2015\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781118662755\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e376\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e33.28\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44315566997644,"sku":"9781118662755","price":127.76,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781118662755.jpg?v=1780206433","url":"https:\/\/lateknightbooks.com\/products\/9781118662755","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}