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    Production Performance Analysis for Multi-Branched Horizontal Wells in Composite Coal Bed Methane Reservoir Considering Stress Sensitivity

    Source: Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 007
    Author:
    Jiang, Ruizhong
    ,
    Liu, Xiuwei
    ,
    Cui, Yongzheng
    ,
    Wang, Xing
    ,
    Gao, Yue
    ,
    Mao, Nianyu
    ,
    Yan, Xinyuan
    DOI: 10.1115/1.4046524
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Coal bed methane (CBM) significantly contributes to unconventional energy resources. With the development of the drilling technology, multi-branched horizontal wells (MBHWs) have been put into the exploitation of CBM. In this paper, a semi-analytical mathematical model is introduced to study the production characteristics of MBHWs in the composite CBM reservoir. Stress sensitivity, composite reservoir, and complex seepage mechanisms (desorption, diffusion, and Darcy flow) are taken into consideration. Through Pedrosa transformation, Perturbation transformation, Laplace transformation, Finite cosine transformation, element discretization, superposition principle, and Stehfest numerical inversion, pseudo-pressure dynamic curves and production decline curves are plotted and 13 flow regimes are divided. Then, the sensitivity analysis of related parameters is conducted to study the influences of these parameters based on these two type curves. Model verification and field application are introduced which shows that the model is reliable. The model proposed in this paper and relevant results analysis can provide some significant guidance for a better understanding of the production behavior of MBHWs in the composite CBM reservoir.
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      Production Performance Analysis for Multi-Branched Horizontal Wells in Composite Coal Bed Methane Reservoir Considering Stress Sensitivity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4273365
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    • Journal of Energy Resources Technology

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    contributor authorJiang, Ruizhong
    contributor authorLiu, Xiuwei
    contributor authorCui, Yongzheng
    contributor authorWang, Xing
    contributor authorGao, Yue
    contributor authorMao, Nianyu
    contributor authorYan, Xinyuan
    date accessioned2022-02-04T14:17:35Z
    date available2022-02-04T14:17:35Z
    date copyright2020/03/13/
    date issued2020
    identifier issn0195-0738
    identifier otherjert_142_7_073001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273365
    description abstractCoal bed methane (CBM) significantly contributes to unconventional energy resources. With the development of the drilling technology, multi-branched horizontal wells (MBHWs) have been put into the exploitation of CBM. In this paper, a semi-analytical mathematical model is introduced to study the production characteristics of MBHWs in the composite CBM reservoir. Stress sensitivity, composite reservoir, and complex seepage mechanisms (desorption, diffusion, and Darcy flow) are taken into consideration. Through Pedrosa transformation, Perturbation transformation, Laplace transformation, Finite cosine transformation, element discretization, superposition principle, and Stehfest numerical inversion, pseudo-pressure dynamic curves and production decline curves are plotted and 13 flow regimes are divided. Then, the sensitivity analysis of related parameters is conducted to study the influences of these parameters based on these two type curves. Model verification and field application are introduced which shows that the model is reliable. The model proposed in this paper and relevant results analysis can provide some significant guidance for a better understanding of the production behavior of MBHWs in the composite CBM reservoir.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleProduction Performance Analysis for Multi-Branched Horizontal Wells in Composite Coal Bed Methane Reservoir Considering Stress Sensitivity
    typeJournal Paper
    journal volume142
    journal issue7
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4046524
    page73001
    treeJournal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 007
    contenttypeFulltext
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