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    Use of Clustered Covariance and Selective Measurement Data in Ensemble Smoother for Three-Dimensional Reservoir Characterization 

    Source: Journal of Energy Resources Technology:;2017:;volume( 139 ):;issue: 002:;page 22905
    Author(s): Lee, Kyungbook; Jung, Seungpil; Lee, Taehun; Choe, Jonggeun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: History matching is essential for estimating reservoir performances and decision makings. Ensemble Kalman filter (EnKF) has been researched for inverse modeling due to lots of advantages such as uncertainty quantification, ...
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