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    Optimization of Injection-Production Relationship of Offshore Unconsolidated Sandstone Reservoirs Based on Inter-Well Connectivity

    Source: Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2024:;volume( 001 ):;issue: 001::page 11001-1
    Author:
    Zhang, Xinlong
    ,
    Du, Fengshuang
    ,
    Zhao, Hui
    ,
    Ge, Lizhen
    ,
    Deng, Jingfu
    DOI: 10.1115/1.4066279
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The dynamic heterogeneity of the water drive sandstone reservoir in high water cut stage is strong, which leads to the differential enrichment and distribution of the remaining oil. The adjustment of the injection-production relationship can effectively guide the work of stabilizing oil and controlling water. Based on the principle of inter-well connectivity, this paper comprehensively considers the geological characteristics and development dynamics, and constructs the multi-layer reservoir joint well network inter-well connectivity model. By integrating the automatic history matching and the real-time injection-production optimization algorithms, the accurate inversion of connectivity parameters and real-time optimization prediction of production dynamics are realized. An actual field application showed that using this method led to an annual increase in oil production by 16,000 cubic meters and a reduction in water cut by 0.87%, which significantly enhanced oil recovery and improved water control. This method can be applied to guide the adjustment of the planar injection-production structure in similar reservoirs.
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      Optimization of Injection-Production Relationship of Offshore Unconsolidated Sandstone Reservoirs Based on Inter-Well Connectivity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4306143
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    • Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture

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    contributor authorZhang, Xinlong
    contributor authorDu, Fengshuang
    contributor authorZhao, Hui
    contributor authorGe, Lizhen
    contributor authorDeng, Jingfu
    date accessioned2025-04-21T10:24:56Z
    date available2025-04-21T10:24:56Z
    date copyright11/25/2024 12:00:00 AM
    date issued2024
    identifier issn2998-1638
    identifier otherjertb_1_1_011001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306143
    description abstractThe dynamic heterogeneity of the water drive sandstone reservoir in high water cut stage is strong, which leads to the differential enrichment and distribution of the remaining oil. The adjustment of the injection-production relationship can effectively guide the work of stabilizing oil and controlling water. Based on the principle of inter-well connectivity, this paper comprehensively considers the geological characteristics and development dynamics, and constructs the multi-layer reservoir joint well network inter-well connectivity model. By integrating the automatic history matching and the real-time injection-production optimization algorithms, the accurate inversion of connectivity parameters and real-time optimization prediction of production dynamics are realized. An actual field application showed that using this method led to an annual increase in oil production by 16,000 cubic meters and a reduction in water cut by 0.87%, which significantly enhanced oil recovery and improved water control. This method can be applied to guide the adjustment of the planar injection-production structure in similar reservoirs.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimization of Injection-Production Relationship of Offshore Unconsolidated Sandstone Reservoirs Based on Inter-Well Connectivity
    typeJournal Paper
    journal volume1
    journal issue1
    journal titleJournal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture
    identifier doi10.1115/1.4066279
    journal fristpage11001-1
    journal lastpage11001-10
    page10
    treeJournal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2024:;volume( 001 ):;issue: 001
    contenttypeFulltext
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