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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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    Model Regeneration Scheme Using a Deep Learning Algorithm for Reliable Uncertainty Quantification of Channel Reservoirs 

    Source: Journal of Energy Resources Technology:;2022:;volume( 144 ):;issue: 009:;page 93004-1
    Author(s): Lee, Youjun; Kang, Byeongcheol; Kim, Joonyi; Choe, Jonggeun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Reservoir characterization is one of the essential procedures for decision makings. However, conventional inversion methods of history matching have several inevitable issues of losing geological information and poor ...
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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
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