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    In-Poro: Differentiable Inverse Analysis Framework for Poroelasticity

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    JGGEFK.GTENG-14580.pdf (7.714Mb)
    Date
    2026
    Author
    Ren, Yuhao
    Liu, Zhen “Leo”
    Liu, Muchun
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    Abstract
    AbstractNumerical poroelasticity models are key tools for designing, operating, and managing many subsurface technologies, such as geothermal energy extraction and geologic carbon storage. The major challenge in applying these models is to calibrate ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4311529
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