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    Modeling the Mechanism of Water Flux in Fractured Gas Reservoirs With Edge Water Aquifers Using an Embedded Discrete Fracture Model 

    Source: Journal of Energy Resources Technology:;2022:;volume( 145 ):;issue: 003:;page 33002-1
    Author(s): Geng, Shaoyang; Li, Chengyong; Zhai, Shuo; Gong, Yufeng; Jing, Min
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The invasion of aquifers into fractured gas reservoirs with edge water aquifers leads to rapid water production in gas wells, which reduces their gas production. Natural fractures accelerate this process. Traditional ...
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    Pore-Scale Acid–Rock Reaction Numerical Simulation Considering the Heterogeneous Distribution of Mineral Components 

    Source: Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2026:;volume( 002 ):;issue:002:;page 107231
    Author(s): Tang, Danni; Li, Chengyong; Zhai, Shuo; Zeng, Yang; Zhu, Runhua; Wu, Jin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Acidization is a vital method for enhancing carbonate reservoir permeability, but the acid–rock reaction mechanism and its impact on production are not fully understood. This study establishes a pore-scale acid–rock ...
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    A Hybrid Convolutional Neural Network–Transformer Neural Network Model for Permeability Prediction in Rock Porous Media 

    Source: Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2026:;volume( 002 ):;issue:003
    Author(s): Zhai, Shuo; Li, Chengyong; Tang, Danni; Deng, Feng; Xiao, Honglin; Hu, Peng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Permeability is a crucial property indicating the fluid transport capability of rock porous media (RPM). This study introduces ConViT, a novel deep learning model that synergistically integrates vision transformer ...
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