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    PSO Algorithm–Based Inversion Model to Interpret a Production Profile from DTS for Horizontal Wells in Shale Gas Reservoirs

    Source: Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 001::page 04025103-1
    Author:
    Luo, Hongwen
    ,
    Xiang, Yuxing
    ,
    Li, Haitao
    ,
    Yan, Changbin
    ,
    Li, Ying
    DOI: 10.1061/JLEED9.EYENG-6228
    Publisher: American Society of Civil Engineers
    Abstract: AbstractSignificant difficulties still exist in production profile and fracture parameter diagnosis for horizontal wells in shale gas reservoirs (SGRs), especially when the complex fracture network is created after hydraulic fracturing. Although the ...
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      PSO Algorithm–Based Inversion Model to Interpret a Production Profile from DTS for Horizontal Wells in Shale Gas Reservoirs

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4312006
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    • Journal of Energy Engineering

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    contributor authorLuo, Hongwen
    contributor authorXiang, Yuxing
    contributor authorLi, Haitao
    contributor authorYan, Changbin
    contributor authorLi, Ying
    date accessioned2026-08-20T11:18:32Z
    date available2026-08-20T11:18:32Z
    date copyright2025/12/01
    date issued2026
    identifier otherJLEED9.EYENG-6228.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312006
    description abstractAbstractSignificant difficulties still exist in production profile and fracture parameter diagnosis for horizontal wells in shale gas reservoirs (SGRs), especially when the complex fracture network is created after hydraulic fracturing. Although the ...
    publisherAmerican Society of Civil Engineers
    titlePSO Algorithm–Based Inversion Model to Interpret a Production Profile from DTS for Horizontal Wells in Shale Gas Reservoirs
    typeJournal Article
    journal volume152
    journal issue1
    journal titleJournal of Energy Engineering
    identifier doi10.1061/JLEED9.EYENG-6228
    journal fristpage04025103-1
    journal lastpage04025103-27
    page27
    treeJournal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 001
    contenttypeFulltext
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