Zur Startseite gehen
0,00 €*
Cover: 9781108462075 | Inverse Theory for Petroleum Reservoir Characterization and History...
Dekorationsartikel gehören nicht zum Leistungsumfang.
Inverse Theory for Petroleum Reservoir Characterization and History Matching
Taschenbuch von Dean. S. Oliver (u. a.)
Sprache: Englisch

74,40 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Aktuell nicht verfügbar

Kategorien:
Beschreibung
A guide to the use of inverse theory for estimation of flow parameters in porous media.
A guide to the use of inverse theory for estimation of flow parameters in porous media.
Über den Autor
Dean S. Oliver is the Mewbourne Chair Professor in the Mewbourne School of Petroleum and Geological Engineering at the University of Oklahoma, where he was the Director for four years. Prior to joining the University of Oklahoma, he worked for seventeen years as a research geophysicist, staff reservoir engineer, and research scientist in reservoir characterization for Chevron and for Saudi Aramco. He also spent six years as a professor in the Petroleum Engineering Department at the University of Tulsa. Professor Oliver has been awarded 'best paper of the year' awards from two journals and received the SPE Reservoir Description and Dynamics Award in 2004. He is currently the Executive Editor of the SPE Journal. His research interests are in inverse theory, reservoir characterization, uncertainty quantification, and optimization.
Inhaltsverzeichnis
Preface; 1. Introduction; 2. Examples of inverse problems; 3. Estimation for linear inverse problems; 4. Probability and estimation; 5. Descriptive geostatistics; 6. Data; 7. The maximum a posteriori estimate; 8. Optimization for nonlinear problems using sensitivities; 9. Sensitivity coefficients; 10. Quantifying uncertainty; 11. Recursive methods; Bibliography; Index.
Details
Erscheinungsjahr: 2018
Genre: Physik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 394
ISBN-13: 9781108462075
ISBN-10: 1108462073
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Oliver, Dean. S.
Reynolds, Albert. C.
Liu, Ning
Hersteller: Cambridge University Press
Maße: 244 x 170 x 21 mm
Von/Mit: Dean. S. Oliver (u. a.)
Erscheinungsdatum: 02.02.2018
Gewicht: 0,678 kg
preigu-id: 111672172
Über den Autor
Dean S. Oliver is the Mewbourne Chair Professor in the Mewbourne School of Petroleum and Geological Engineering at the University of Oklahoma, where he was the Director for four years. Prior to joining the University of Oklahoma, he worked for seventeen years as a research geophysicist, staff reservoir engineer, and research scientist in reservoir characterization for Chevron and for Saudi Aramco. He also spent six years as a professor in the Petroleum Engineering Department at the University of Tulsa. Professor Oliver has been awarded 'best paper of the year' awards from two journals and received the SPE Reservoir Description and Dynamics Award in 2004. He is currently the Executive Editor of the SPE Journal. His research interests are in inverse theory, reservoir characterization, uncertainty quantification, and optimization.
Inhaltsverzeichnis
Preface; 1. Introduction; 2. Examples of inverse problems; 3. Estimation for linear inverse problems; 4. Probability and estimation; 5. Descriptive geostatistics; 6. Data; 7. The maximum a posteriori estimate; 8. Optimization for nonlinear problems using sensitivities; 9. Sensitivity coefficients; 10. Quantifying uncertainty; 11. Recursive methods; Bibliography; Index.
Details
Erscheinungsjahr: 2018
Genre: Physik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 394
ISBN-13: 9781108462075
ISBN-10: 1108462073
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Oliver, Dean. S.
Reynolds, Albert. C.
Liu, Ning
Hersteller: Cambridge University Press
Maße: 244 x 170 x 21 mm
Von/Mit: Dean. S. Oliver (u. a.)
Erscheinungsdatum: 02.02.2018
Gewicht: 0,678 kg
preigu-id: 111672172
Warnhinweis

Ähnliche Produkte

Diese Website verwendet Cookies, um eine bestmögliche Erfahrung bieten zu können. Mehr Informationen ...