Ensemble History Matching
Conditioning Reservoir Models on Dynamic Data
Buch in deiner Nähe kaufen
Beschreibung
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 parameters.
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 parameters.
This book is open access, which means that you have free and unlimited access Contains the first consistent and rigorous presentation of the history matching problem Resolves previous misconceptions and erroneous use of ensemble history-matching methods Introduces robust optimization and a new mean-model bias correction method
Autor*in
Geir Evensen
Themen in »Ensemble History Matching«
Open Access Ensemble history matching Robust optimization Closed loop reservoir managment Reservoir characterization Randomized Maximum-Likelihood Sampling