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    A Numerical Method for Predicting Liquid Loading of Condensate Gas Wells

    Source: Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2026:;volume( 002 ):;issue:003::page 349
    Author:
    Xie, Chuan
    ,
    Pang, Yu
    ,
    Hu, Yongbo
    ,
    Wang, ZiMing
    ,
    Deng, Xingwang
    ,
    Huang, Xiaoliang
    ,
    Li, Jiqiang
    DOI: 10.1115/1.4071252
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Condensate gas wells always experience three phases (gas–water–condensate oil) flow in the wellbore; the interaction between each phase is more complicated, which aggravates the liquid loading and causes severe production decline. In the optimization of gas well production, accurately predicting the onset of liquid loading is of critical importance. While significant efforts have been dedicated to modeling liquid loading behavior, mechanistic models capable of balancing practicality and accuracy in describing the complex flow dynamics of gas–water–condensate oil three-phase systems in vertical wells remain scarce. First, the Euler–Euler multifluid volume of fluid (VOF) model is applied to simulate the liquid film flow behavior, and the Schiller–Naumann and Brackbill-continuum surface force (CSF) models calculate the interactive effects between gas–water–oil three phases. Then, experiments are conducted to validate the numerical results, and a close agreement was observed between the numerical and experimental results with respect to pressure gradient and critical velocity. Finally, the field application results show that the numerical method not only improves model accuracy to over 90% but also eliminates human bias, providing a robust tool for liquid loading diagnosis in condensate wells.
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      A Numerical Method for Predicting Liquid Loading of Condensate Gas Wells

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4315479
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    • Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture

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    contributor authorXie, Chuan
    contributor authorPang, Yu
    contributor authorHu, Yongbo
    contributor authorWang, ZiMing
    contributor authorDeng, Xingwang
    contributor authorHuang, Xiaoliang
    contributor authorLi, Jiqiang
    date accessioned2026-08-23T07:42:34Z
    date available2026-08-23T07:42:34Z
    date copyright2026/06/01
    date issued2026
    identifier issn2998-1638
    identifier otherjertb-25-1139.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315479
    description abstractAbstract. Condensate gas wells always experience three phases (gas–water–condensate oil) flow in the wellbore; the interaction between each phase is more complicated, which aggravates the liquid loading and causes severe production decline. In the optimization of gas well production, accurately predicting the onset of liquid loading is of critical importance. While significant efforts have been dedicated to modeling liquid loading behavior, mechanistic models capable of balancing practicality and accuracy in describing the complex flow dynamics of gas–water–condensate oil three-phase systems in vertical wells remain scarce. First, the Euler–Euler multifluid volume of fluid (VOF) model is applied to simulate the liquid film flow behavior, and the Schiller–Naumann and Brackbill-continuum surface force (CSF) models calculate the interactive effects between gas–water–oil three phases. Then, experiments are conducted to validate the numerical results, and a close agreement was observed between the numerical and experimental results with respect to pressure gradient and critical velocity. Finally, the field application results show that the numerical method not only improves model accuracy to over 90% but also eliminates human bias, providing a robust tool for liquid loading diagnosis in condensate wells.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Numerical Method for Predicting Liquid Loading of Condensate Gas Wells
    typeJournal Paper
    journal volume2
    journal issue3
    journal titleJournal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture
    identifier doi10.1115/1.4071252
    journal fristpage349
    journal lastpage358
    page10
    treeJournal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2026:;volume( 002 ):;issue:003
    contenttypeFulltext
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