Ensemble History Matching : Conditioning Reservoir Models on Dynamic Data

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Earth and Environmental Science; Earth and Environmental Science (R0)Verlag: Cham : Springer Nature : Springer [Imprint], 2025Beschreibung: 1 Online-Ressource (1 electronic resource 199 p.)ISBN:

9783031991547
9783031991554

Schlagwörter:

Online-Ressourcen:

Volltext frei verfügbar

Zusammenfassung: This open-access book aims to formulate the history-matching problem consistently and present state-of-the-art ensemble solution methods. The content aims to help practitioners in the field understand the properties of ensemble methods better when used to history-match reservoir models. The book provides educational information for graduate students and researchers in petroleum, geothermal, and hydrological engineering and sciences. It introduces and explains various algorithms used in data assimilation and parameter estimation, focusing on ensemble methods, particularly the most popular ones in the petroleum community. It discusses challenges associated with these techniques, such as dealing with high-dimensional models, finite number of realizations, parameterization, and handling uncertainties in the observations and model parametersPPN: PPN: 198398163XPackage identifier: Produktsigel: ZDB-94-OAB

Exemplare ( 0 )
Titelinformationen ( 5 )

Dieser Titel hat keine Exemplare

Open Access. Unrestricted online access star

Namensnennung 4.0 International CC BY 4.0 cc:

https://creativecommons.org/licenses/by/4.0/

Anmerkungen zur Barrierefreiheit: Accessibility options of PDF file not available.

eng