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    Analysis of Multiphase Reservoir Production From Oil/Water Systems Using Rescaled Exponential Decline Models

    Source: Journal of Energy Resources Technology:;2019:;volume( 141 ):;issue: 008::page 82903
    Author:
    Sun, Qian
    ,
    Ayala, Luis F.
    DOI: 10.1115/1.4042449
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study, we present an analytical approach based on rescaled exponential models that are able to analyze production data from oil/water systems producing under boundary-dominated flow conditions. The model is derived by coupling two-phase oil/water material balances with multiphase well deliverability equations. Nonlinearities introduced by relative permeability in multiphase oil/water systems are accounted for via depletion-dependent parameters applied to each of the flowing phases. This study shows that So–Sw–p relationships based on Muskat's standard assumptions can be successfully deployed to correlate saturation and pressure changes in these two-phase systems without the need for user-provided surface production ratios or well-stream composition information. The validity of the proposed model is verified by closely matching predictions against finely gridded numerical models for cases constrained by both constant and variable bottomhole pressure production. In addition, a straight-line analysis protocol is structured to estimate the original oil and water in place on the basis of available production data using rescaled exponential models. Finally, we explore conditions for validity of the assumptions used in the proposed model, including the So–Sw–p formulation, by conducting extensive sensitivity analysis on input parameters.
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      Analysis of Multiphase Reservoir Production From Oil/Water Systems Using Rescaled Exponential Decline Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4255712
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    contributor authorSun, Qian
    contributor authorAyala, Luis F.
    date accessioned2019-03-17T09:50:11Z
    date available2019-03-17T09:50:11Z
    date copyright1/30/2019 12:00:00 AM
    date issued2019
    identifier issn0195-0738
    identifier otherjert_141_08_082903.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4255712
    description abstractIn this study, we present an analytical approach based on rescaled exponential models that are able to analyze production data from oil/water systems producing under boundary-dominated flow conditions. The model is derived by coupling two-phase oil/water material balances with multiphase well deliverability equations. Nonlinearities introduced by relative permeability in multiphase oil/water systems are accounted for via depletion-dependent parameters applied to each of the flowing phases. This study shows that So–Sw–p relationships based on Muskat's standard assumptions can be successfully deployed to correlate saturation and pressure changes in these two-phase systems without the need for user-provided surface production ratios or well-stream composition information. The validity of the proposed model is verified by closely matching predictions against finely gridded numerical models for cases constrained by both constant and variable bottomhole pressure production. In addition, a straight-line analysis protocol is structured to estimate the original oil and water in place on the basis of available production data using rescaled exponential models. Finally, we explore conditions for validity of the assumptions used in the proposed model, including the So–Sw–p formulation, by conducting extensive sensitivity analysis on input parameters.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAnalysis of Multiphase Reservoir Production From Oil/Water Systems Using Rescaled Exponential Decline Models
    typeJournal Paper
    journal volume141
    journal issue8
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4042449
    journal fristpage82903
    journal lastpage082903-16
    treeJournal of Energy Resources Technology:;2019:;volume( 141 ):;issue: 008
    contenttypeFulltext
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