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    Fast and Reliable History Matching of Channel Reservoirs Using Initial Models Selected by Streamline and Deep Learning 

    Source: Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2024:;volume( 001 ):;issue: 001:;page 11002-1
    Author(s): Kim, Doeon; King, Michael; Jo, Honggeun; Choe, Jonggeun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Ensemble-based methods involve using multiple models for model calibration to correct initial models based on observed data. The assimilated ensemble models allow probabilistic analysis of future production behaviors. It ...
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    Reliable Initial Model Selection for Efficient Characterization of Channel Reservoirs in Ensemble Kalman Filter 

    Source: Journal of Energy Resources Technology:;2023:;volume( 145 ):;issue: 012:;page 122901-1
    Author(s): Kim, Doeon; Lee, Youjun; Choe, Jonggeun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Ensemble Kalman filter is typically utilized to characterize reservoirs with high uncertainty. However, it requires a large number of reservoir models for stable and reliable update of its members, resulting in high ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian