Applied Geostatistics with SGeMS : A User's Guide

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Title:	Applied Geostatistics with SGeMS : A User's Guide
Description:	The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.
Authors:	Nicolas Remy, Alexandre Boucher, Jianbing Wu
Resource Type:	eBook.
Subjects:	Geological modeling--Statistical methods, Geological modeling--Computer simulation, Geology--Computer simulation, Geology--Statistical methods--Software, Geology--Statistical methods
Categories:	SCIENCE / Earth Sciences / General, SCIENCE / Physics / Geophysics
Database:	eBook Collection (EBSCOhost)

FullText	Links: – Type: ebook-pdf Text: Availability: 0
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Items	– Name: Title Label: Title Group: Ti Data: Applied Geostatistics with SGeMS : A User's Guide – Name: Abstract Label: Description Group: Ab Data: The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nicolas+Remy%22">Nicolas Remy</searchLink><br /><searchLink fieldCode="AR" term="%22Alexandre+Boucher%22">Alexandre Boucher</searchLink><br /><searchLink fieldCode="AR" term="%22Jianbing+Wu%22">Jianbing Wu</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Geological+modeling--Statistical+methods%22">Geological modeling--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Geological+modeling--Computer+simulation%22">Geological modeling--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Geology--Computer+simulation%22">Geology--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Geology--Statistical+methods--Software%22">Geology--Statistical methods--Software</searchLink><br /><searchLink fieldCode="DE" term="%22Geology--Statistical+methods%22">Geology--Statistical methods</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Earth+Sciences+%2F+General%22">SCIENCE / Earth Sciences / General</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Physics+%2F+Geophysics%22">SCIENCE / Physics / Geophysics</searchLink>
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RecordInfo	BibRecord: BibEntity: Classifications: – Code: 550.727 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Geological modeling--Statistical methods Type: general – SubjectFull: Geological modeling--Computer simulation Type: general – SubjectFull: Geology--Computer simulation Type: general – SubjectFull: Geology--Statistical methods--Software Type: general – SubjectFull: Geology--Statistical methods Type: general Titles: – TitleFull: Applied Geostatistics with SGeMS : A User's Guide Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nicolas Remy – PersonEntity: Name: NameFull: Alexandre Boucher – PersonEntity: Name: NameFull: Jianbing Wu – PersonEntity: Name: NameFull: Nicolas Remy – PersonEntity: Name: NameFull: Alexandre Boucher – PersonEntity: Name: NameFull: Jianbing Wu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2009 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780521514149 – Type: isbn-print Value: 9781107403246 – Type: isbn-electronic Value: 9781139160971 Titles: – TitleFull: Applied Geostatistics with SGeMS : A User's Guide Type: main
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