LEADER 04008nam 22008052 450 001 9910816685603321 005 20151005020622.0 010 $a1-107-19503-9 010 $a1-139-80981-4 010 $a1-107-31611-1 010 $a1-107-31707-X 010 $a1-107-32150-6 010 $a1-107-31796-7 010 $a0-511-60007-0 010 $a0-511-83861-1 010 $a1-299-39926-6 010 $a1-107-31513-1 035 $a(CKB)2550000001017777 035 $a(EBL)1357391 035 $a(OCoLC)668203673 035 $a(SSID)ssj0001293679 035 $a(PQKBManifestationID)12498960 035 $a(PQKBTitleCode)TC0001293679 035 $a(PQKBWorkID)11311078 035 $a(PQKB)10798816 035 $a(SSID)ssj0000463236 035 $a(PQKBManifestationID)11299357 035 $a(PQKBTitleCode)TC0000463236 035 $a(PQKBWorkID)10416631 035 $a(PQKB)11125230 035 $a(UkCbUP)CR9780511600074 035 $a(MiAaPQ)EBC1357391 035 $a(Au-PeEL)EBL1357391 035 $a(CaPaEBR)ebr10458776 035 $a(CaONFJC)MIL471176 035 $a(PPN)261282107 035 $a(EXLCZ)992550000001017777 100 $a20090721d2005|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantitative seismic interpretation $eapplying rock physics tools to reduce interpretation risk /$fPer Avseth, Tapan Mukerji, Gary Mavko$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2005. 215 $a1 online resource (xv, 359 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-81601-7 311 $a0-521-15135-X 320 $aIncludes bibliographical references (p. 340-355) and index. 327 $g1.$tIntroduction to rock physics --$g2.$tRock physics interpretation of texture, lithology and compaction --$g3.$tStatistical rock physics : combining rock physics, information theory, and statistics to reduce uncertainty --$g4.$tCommon techniques for quantitative seismic interpretation --$g5.$tCase studies : lithology and pore-fluid prediction from seismic data --$g6.$tWorkflows and guidelines --$g7.$tHands-on. 330 $aQuantitative Seismic Interpretation demonstrates how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes. The authors provide an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs using well-log and seismic data. They illustrate the advantages of these new methodologies, while providing advice about limitations of the methods and traditional pitfalls. This book is aimed at graduate students, academics and industry professionals working in the areas of petroleum geoscience and exploration seismology. It will also interest environmental geophysicists seeking a quantitative subsurface characterization from shallow seismic data. The book includes problem sets and a case-study, for which seismic and well-log data, and Matlab codes are provided on a website (http://www.cambridge.org/9780521816014). These resources will allow readers to gain a hands-on understanding of the methodologies. 606 $aSeismic reflection method 606 $aSeismic prospecting 606 $aPetroleum$xGeology 606 $aNatural gas$xGeology 615 0$aSeismic reflection method. 615 0$aSeismic prospecting. 615 0$aPetroleum$xGeology. 615 0$aNatural gas$xGeology. 676 $a622/.1592 700 $aAvseth$b Per$f1970-$0315776 702 $aMukerji$b Tapan$f1965- 702 $aMavko$b Gary$f1949- 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910816685603321 996 $aQuantitative seismic interpretation$94125905 997 $aUNINA