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    Improved Permeability Prediction of Porous Media by Feature Selection and Machine Learning Methods Comparison 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 036 ):;issue: 002:;page 04021040
    Author(s): J. W. Tian; Chongchong Qi; Kang Peng; Yingfeng Sun; Zaher Mundher Yaseen
    Publisher: ASCE
    Abstract: Permeability of subsurface porous media is one of the primary factors that affect fluid transport in porous rock. However, accurate prediction of rock permeability is a challenging task due to its intricate pore network. ...
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    DSpace software copyright © 2002-2015  DuraSpace
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