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    A Novel Scientific Approach to Compare the Effectiveness of Well Stimulation and Artificial Lifting

    Source: Journal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 008::page 83004-1
    Author:
    Abbaspour, Mitra
    ,
    Mahdiyar, Hojjat
    ,
    Kazemzadeh, Yousef
    ,
    Eskroochi, Mehdi
    ,
    Nasrabadi, Mohsen
    DOI: 10.1115/1.4052860
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Production rate decline is one of the most common challenges in production engineering. Obviously, the first step to overcome this challenge is to understand its main reason. In this article, a new approach is developed which can be used to compare the effectiveness of artificial lifting and well stimulation. The method is based on a couple of charts that summarize the results of integrated simulation of formation and well-column. In the first graph, called the flow productivity index curve, the production rate is drawn as a function of the productivity index. Some important points are also specified on this diagram which are current state, production rate at maximum possible productivity index, and production rate when the well is equipped with a pump or gas lifting. In the second graph, derivatives of the production rate of different wells are drawn as a function of the productivity index. The analysis of three actual wells with conventional inflow performance relationship-tubing performance relationship (IPR-TPR) curves and also our suggested curves are discussed in this paper. It is seen that the introduced approach can be used as a powerful tool to predict the effectiveness of well stimulation and artificial lifting and make a clear comparison between them.
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      A Novel Scientific Approach to Compare the Effectiveness of Well Stimulation and Artificial Lifting

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4285432
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    • Journal of Energy Resources Technology

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    contributor authorAbbaspour, Mitra
    contributor authorMahdiyar, Hojjat
    contributor authorKazemzadeh, Yousef
    contributor authorEskroochi, Mehdi
    contributor authorNasrabadi, Mohsen
    date accessioned2022-05-08T09:40:13Z
    date available2022-05-08T09:40:13Z
    date copyright12/2/2021 12:00:00 AM
    date issued2021
    identifier issn0195-0738
    identifier otherjert_144_8_083004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285432
    description abstractProduction rate decline is one of the most common challenges in production engineering. Obviously, the first step to overcome this challenge is to understand its main reason. In this article, a new approach is developed which can be used to compare the effectiveness of artificial lifting and well stimulation. The method is based on a couple of charts that summarize the results of integrated simulation of formation and well-column. In the first graph, called the flow productivity index curve, the production rate is drawn as a function of the productivity index. Some important points are also specified on this diagram which are current state, production rate at maximum possible productivity index, and production rate when the well is equipped with a pump or gas lifting. In the second graph, derivatives of the production rate of different wells are drawn as a function of the productivity index. The analysis of three actual wells with conventional inflow performance relationship-tubing performance relationship (IPR-TPR) curves and also our suggested curves are discussed in this paper. It is seen that the introduced approach can be used as a powerful tool to predict the effectiveness of well stimulation and artificial lifting and make a clear comparison between them.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Novel Scientific Approach to Compare the Effectiveness of Well Stimulation and Artificial Lifting
    typeJournal Paper
    journal volume144
    journal issue8
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4052860
    journal fristpage83004-1
    journal lastpage83004-6
    page6
    treeJournal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 008
    contenttypeFulltext
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