Initial Member Selection and Covariance Localization Study of Ensemble Kalman Filter based Data Assimilation

Initial Member Selection and Covariance Localization Study of Ensemble Kalman Filter based Data Assimilation

Petroleum engineers generate reservoir simulation models to optimize production and maximize recovery. History matching is one of the methods used to calibrate the reservoir models. During traditional history matching, individual model variable parameters (permeability, relative permeability, initia...

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Bibliographic Details
Main Author: Yip, Yeung
Other Authors: Datta-Gupta, Akhil
Format: Others
Language:en_US
Published: 2011
Subjects:
Ensemble Kalman Filter
covariance localization
initial member
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9468

Internet

http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9468

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