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[null,"1.","Record Nr.",null,"UNINA9911006629503321"]
[null,null,"Autore",null,"Oliver Dean Stuart"]
[null,null,"Titolo",null,"Inverse theory for petroleum reservoir characterization and history matching / / Dean S. Oliver, Albert C. Reynolds, Ning Liu"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge : , : Cambridge University Press, , 2008"]
[null,null,"ISBN",null,"9780511535642 (e-book)"]
[{"$nulls":4},"9780521881517 (hbk.)"]
[{"$nulls":4},"1-107-18506-8"]
[{"$nulls":4},"1-281-38354-6"]
[{"$nulls":4},"9786611383541"]
[{"$nulls":4},"0-511-40237-6"]
[{"$nulls":4},"0-511-39775-5"]
[{"$nulls":4},"0-511-39698-8"]
[{"$nulls":4},"0-511-39946-4"]
[{"$nulls":4},"0-511-39625-2"]
[{"$nulls":4},"1-60119-749-7"]
[{"$nulls":4},"0-511-53564-3"]
[{"$nulls":4},"0-511-39851-4"]
[null,null,"Descrizione fisica",null,"1 online resource (xii, 380 pages) : digital, PDF file(s)"]
[null,null,"Disciplina",null,"553.2801515357"]
[null,null,"Soggetti",null,"Petroleum reserves - Mathematical models"]
[{"$nulls":4},"Inversion (Geophysics)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from publisher's bibliographic system (viewed on 05 Oct 2015)."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 367-377) and index."]
[null,null,"Nota di contenuto",null,"Examples of inverse problems -- Estimation for linear inverse problems -- Probability and estimation -- Descriptive geostatistics -- Data -- Maximum a posteriori estimate -- Optimization for nonlinear problems using sensitivities -- Sensitivity coefficients -- Quantifying uncertainty -- Recursive methods."]
[null,null,null,"Sommario/riassunto","This book is a guide to the use of inverse theory for estimation and conditional simulation of flow and transport parameters in porous media. It describes the theory and practice of estimating properties of underground petroleum reservoirs from measurements of flow in wells, and it explains how to characterize the uncertainty in such estimates. Early chapters present the reader with the necessary background in "]
[{"$nulls":4},"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."]