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    A Further Investigation on the Application of Critical Pore Size as an Approach for Reservoir Rock Typing

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 011::page 112901-1
    Author:
    Faramarzi-Palangar, Mohsen
    ,
    Sedaee, Behnam
    ,
    Emami Niri, Mohammad
    DOI: 10.1115/1.4049735
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The correct definition of rock types plays a critical role in reservoir characterization, simulation, and field development planning. In this study, we use the critical pore size (linf) as an approach for reservoir rock typing. Two linf relations were separately derived based on two permeability prediction models and then merged together to drive a generalized linf relation. The proposed rock typing methodology includes two main parts: in the first part, we determine an appropriate constant coefficient, and in the second part, we perform reservoir rock typing based on two different scenarios. The first scenario is based on the forming groups of rocks using statistical analysis, and the second scenario is based on the forming groups of rocks with similar capillary pressure curves. This approach was applied to three data sets. In detail, two data sets were used to determine the constant coefficient, and one data set was used to show the applicability of the linf method in comparison with FZI for rock typing.
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      A Further Investigation on the Application of Critical Pore Size as an Approach for Reservoir Rock Typing

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4277822
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    contributor authorFaramarzi-Palangar, Mohsen
    contributor authorSedaee, Behnam
    contributor authorEmami Niri, Mohammad
    date accessioned2022-02-05T22:36:03Z
    date available2022-02-05T22:36:03Z
    date copyright2/9/2021 12:00:00 AM
    date issued2021
    identifier issn0195-0738
    identifier otherjert_143_11_112901.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277822
    description abstractThe correct definition of rock types plays a critical role in reservoir characterization, simulation, and field development planning. In this study, we use the critical pore size (linf) as an approach for reservoir rock typing. Two linf relations were separately derived based on two permeability prediction models and then merged together to drive a generalized linf relation. The proposed rock typing methodology includes two main parts: in the first part, we determine an appropriate constant coefficient, and in the second part, we perform reservoir rock typing based on two different scenarios. The first scenario is based on the forming groups of rocks using statistical analysis, and the second scenario is based on the forming groups of rocks with similar capillary pressure curves. This approach was applied to three data sets. In detail, two data sets were used to determine the constant coefficient, and one data set was used to show the applicability of the linf method in comparison with FZI for rock typing.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Further Investigation on the Application of Critical Pore Size as an Approach for Reservoir Rock Typing
    typeJournal Paper
    journal volume143
    journal issue11
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4049735
    journal fristpage112901-1
    journal lastpage112901-13
    page13
    treeJournal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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