Application of Function Approximations to Reservoir Engineering: Estimation of Bubble Point Pressure, Oil FVF and GOR - Brossura
Sinossi
The book presents new approaches to address three of some of the most important ongoing challenges in petroleum engineering. Multiple Regression Analysis and two deferent artificial intelligence techniques (Neural Networks, ANNs and Least Squares Support Vector Machines, LS-SVM) are applied to: (1) Estimate bubble point pressure, bubble point oil FVF, bubble point GOR and stock-tank vent GOR in the absence of experimental analysis. Unlike the present PVT correlations, they can be applied in a straightforward manner by using direct field data. (2) Predict and interpolate average reservoir pressure. Three different models are obtained to predict and interpolate average reservoir pressure without closing the producing wells. (3) Forecast the production of oil reservoirs. ANNs and LS-SVM are applied to predict the performance of oil production within water injection reservoirs. The historical production and injection data are used as inputs. The approach can be categorized as a new and rapid method with reasonable results. Another application of these models is that it can be utilized to find the most economical scenario of water injection to maximize ultimate oil recovery.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Ezeddin Shirif is Professor of Petroleum Engineering at the University of Regina. He was an assistant professor of petroleum engineering at the University of Tripoli from 1982-1992. Dr. Shirif holds a BSc. Degree and MSc. degree from the University of Southern California and a PhD degree in EOR/reservoir simulation from the University of Alberta.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Application of Function Approximations to Reservoir...
Immagini fornite dal venditore
Application of Function Approximations to Reservoir Engineering
Editore:
LAP Lambert Academic Publishing Jan 2013, 2013
ISBN 10: 3659280291
ISBN 13: 9783659280290
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book presents new approaches to address three of some of the most important ongoing challenges in petroleum engineering. Multiple Regression Analysis and two deferent artificial intelligence techniques (Neural Networks, ANNs and Least Squares Support Vector Machines, LS-SVM) are applied to: (1) Estimate bubble point pressure, bubble point oil FVF, bubble point GOR and stock-tank vent GOR in the absence of experimental analysis. Unlike the present PVT correlations, they can be applied in a straightforward manner by using direct field data. (2) Predict and interpolate average reservoir pressure. Three different models are obtained to predict and interpolate average reservoir pressure without closing the producing wells. (3) Forecast the production of oil reservoirs. ANNs and LS-SVM are applied to predict the performance of oil production within water injection reservoirs. The historical production and injection data are used as inputs. The approach can be categorized as a new and rapid method with reasonable results. Another application of these models is that it can be utilized to find the most economical scenario of water injection to maximize ultimate oil recovery. 432 pp. Englisch. Codice articolo 9783659280290
Compra nuovo
EUR 79,00
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Application of Function Approximations to Reservoir Engineering
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659280291
ISBN 13: 9783659280290
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shirif EzeddinEzeddin Shirif is Professor of Petroleum Engineering at the University of Regina. He was an assistant professor of petroleum engineering at the University of Tripoli from 1982-1992. Dr. Shirif holds a BSc. Degree and MS. Codice articolo 5145338
Compra nuovo
EUR 63,42
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Application of Function Approximations to Reservoir Engineering | Estimation of Bubble Point Pressure, Oil FVF and GOR
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659280291
ISBN 13: 9783659280290
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Application of Function Approximations to Reservoir Engineering | Estimation of Bubble Point Pressure, Oil FVF and GOR | Ezeddin Shirif (u. a.) | Taschenbuch | 432 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659280290 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 106099541
Compra nuovo
EUR 66,40
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Immagini fornite dal venditore
Application of Function Approximations to Reservoir Engineering
Editore:
LAP LAMBERT Academic Publishing Jan 2013, 2013
ISBN 10: 3659280291
ISBN 13: 9783659280290
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book presents new approaches to address three of some of the most important ongoing challenges in petroleum engineering. Multiple Regression Analysis and two deferent artificial intelligence techniques (Neural Networks, ANNs and Least Squares Support Vector Machines, LS-SVM) are applied to: (1) Estimate bubble point pressure, bubble point oil FVF, bubble point GOR and stock-tank vent GOR in the absence of experimental analysis. Unlike the present PVT correlations, they can be applied in a straightforward manner by using direct field data. (2) Predict and interpolate average reservoir pressure. Three different models are obtained to predict and interpolate average reservoir pressure without closing the producing wells. (3) Forecast the production of oil reservoirs. ANNs and LS-SVM are applied to predict the performance of oil production within water injection reservoirs. The historical production and injection data are used as inputs. The approach can be categorized as a new and rapid method with reasonable results. Another application of these models is that it can be utilized to find the most economical scenario of water injection to maximize ultimate oil recovery.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 432 pp. Englisch. Codice articolo 9783659280290
Compra nuovo
EUR 79,00
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Application of Function Approximations to Reservoir Engineering : Estimation of Bubble Point Pressure, Oil FVF and GOR
Editore:
LAP Lambert Academic Publishing, 2013
ISBN 10: 3659280291
ISBN 13: 9783659280290
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book presents new approaches to address three of some of the most important ongoing challenges in petroleum engineering. Multiple Regression Analysis and two deferent artificial intelligence techniques (Neural Networks, ANNs and Least Squares Support Vector Machines, LS-SVM) are applied to: (1) Estimate bubble point pressure, bubble point oil FVF, bubble point GOR and stock-tank vent GOR in the absence of experimental analysis. Unlike the present PVT correlations, they can be applied in a straightforward manner by using direct field data. (2) Predict and interpolate average reservoir pressure. Three different models are obtained to predict and interpolate average reservoir pressure without closing the producing wells. (3) Forecast the production of oil reservoirs. ANNs and LS-SVM are applied to predict the performance of oil production within water injection reservoirs. The historical production and injection data are used as inputs. The approach can be categorized as a new and rapid method with reasonable results. Another application of these models is that it can be utilized to find the most economical scenario of water injection to maximize ultimate oil recovery. Codice articolo 9783659280290
Compra nuovo
EUR 79,00
Spedizione EUR 63,31
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Application of Function Approximations to Reservoir Engineering: Estimation of Bubble Point Pressure, Oil FVF and GOR
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659280291
ISBN 13: 9783659280290
Antico o usato
Paperback
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA75836592802915
Compra usato
EUR 174,19
Spedizione EUR 28,96
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili