LEADER 03602nam 22007092 450 001 9911006629503321 005 20151005020622.0 010 $a9780511535642 (e-book) 010 $a9780521881517 (hbk.) 010 $a1-107-18506-8 010 $a1-281-38354-6 010 $a9786611383541 010 $a0-511-40237-6 010 $a0-511-39775-5 010 $a0-511-39698-8 010 $a0-511-39946-4 010 $a0-511-39625-2 010 $a1-60119-749-7 010 $a0-511-53564-3 010 $a0-511-39851-4 035 $a(CKB)1000000000402141 035 $a(OCoLC)314217935 035 $a(EBL)343536 035 $a(OCoLC)437209184 035 $a(SSID)ssj0000072394 035 $a(PQKBManifestationID)11123429 035 $a(PQKBTitleCode)TC0000072394 035 $a(PQKBWorkID)10094126 035 $a(PQKB)10155874 035 $a(UkCbUP)CR9780511535642 035 $a(MiAaPQ)EBC343536 035 $a(PPN)261367196 035 $a(EXLCZ)991000000000402141 100 $a20090429d2008|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInverse theory for petroleum reservoir characterization and history matching /$fDean S. Oliver, Albert C. Reynolds, Ning Liu 210 1$aCambridge :$cCambridge University Press,$d2008. 215 $a1 online resource (xii, 380 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 1 $a0-521-88151-X 320 $aIncludes bibliographical references (p. 367-377) and index. 327 $aExamples of inverse problems -- Estimation for linear inverse problems -- Probability and estimation -- Descriptive geostatistics -- Data -- Maximum a posteriori estimate -- Optimization for nonlinear problems using sensitivities -- Sensitivity coefficients -- Quantifying uncertainty -- Recursive methods. 330 $aThis book is a guide to the use of inverse theory for estimation and conditional simulation of flow and transport parameters in porous media. It describes the theory and practice of estimating properties of underground petroleum reservoirs from measurements of flow in wells, and it explains how to characterize the uncertainty in such estimates. Early chapters present the reader with the necessary background in inverse theory, probability and spatial statistics. The book demonstrates how to calculate sensitivity coefficients and the linearized relationship between models and production data. It also shows how to develop iterative methods for generating estimates and conditional realizations. The text is written for researchers and graduates in petroleum engineering and groundwater hydrology and can be used as a textbook for advanced courses on inverse theory in petroleum engineering. It includes many worked examples to demonstrate the methodologies and a selection of exercises. 517 3 $aInverse Theory for Petroleum Reservoir Characterization & History Matching 606 $aPetroleum reserves$xMathematical models 606 $aInversion (Geophysics) 615 0$aPetroleum reserves$xMathematical models. 615 0$aInversion (Geophysics) 676 $a553.2801515357 700 $aOliver$b Dean Stuart$01635781 702 $aReynolds$b Albert C. 702 $aLiu$b Ning 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9911006629503321 996 $aInverse theory for petroleum reservoir characterization and history matching$94428396 997 $aUNINA