000 02941nam a22004218i 4500
001 CR9781139150019
003 UkCbUP
005 20200124160327.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 110830s2009||||enk o ||1 0|eng|d
020 _a9781139150019 (ebook)
020 _z9780521514149 (hardback)
020 _z9781107403246 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQE48.8
_b.R46 2009
082 0 0 _a550.72/7
_222
100 1 _aRemy, Nicolas,
_d1975-
_eauthor.
245 1 0 _aApplied geostatistics with SGeMS :
_ba user's guide /
_cNicolas Remy, Alexandre Boucher and Jianbing Wu.
264 1 _aCambridge :
_bCambridge University Press,
_c2009.
300 _a1 online resource (xix, 264 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 _aIntroduction -- General overview -- Geostatistics : a recall of concepts -- Data sets and SGeMS EDA tools -- Variogram computation and modeling -- Common parameter input interfaces -- Estimation algorithms -- Stochastic simulation algorithms -- Utilities -- Scripting, commands and plug-ins.
520 _aThe 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.
630 0 0 _aSGeMS (Computer software)
650 0 _aGeological modeling
_xComputer simulation.
650 0 _aGeological modeling
_xStatistical methods.
650 0 _aGeology
_xComputer simulation.
650 0 _aGeology
_xStatistical methods.
650 0 _aGeology
_xStatistical methods
_vSoftware.
700 1 _aBoucher, Alexandre,
_eauthor.
700 1 _aWu, Jianbing,
_eauthor.
776 0 8 _iPrint version:
_z9780521514149
856 4 0 _uhttps://doi.org/10.1017/CBO9781139150019
999 _c522301
_d522299