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    Pore-Facies as a tool for incorporation of small scale dynamic information in integrated reservoir studies

    154263_154263.pdf (1.985Mb)
    Access Status
    Open access
    Authors
    Chehrazi, A.
    Rezaee, M. Reza
    Rahimpour-Bonab, Hossain
    Date
    2011
    Type
    Journal Article
    
    Metadata
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    Citation
    Chehrazi, Ali and Rezaee, M. Reza and Rahimpour, Hossain. 2011. Pore-Facies as a tool for incorporation of small scale dynamic information in integrated reservoir studies. Journal of Geophysics and Engineering. 8 (2): pp. 202-224.
    Source Title
    Journal of Geophysics and Engineering
    DOI
    10.1088/1742-2132/8/2/008
    ISSN
    1742-2132
    School
    Department of Petroleum Engineering
    Remarks

    © 2011 IOP Institute of Physics

    URI
    http://hdl.handle.net/20.500.11937/37412
    Collection
    • Curtin Research Publications
    Abstract

    In this study, the quantification and incorporation of pore geometry, a qualitative parameter, and a source of dynamic information, will be demonstrated in the integrated reservoir studies. To quantify pore geometry, mercury injection capillary pressure (MICP) curves have been exploited. For each MICP curve, 20 parameters were derived and multi-resolution graph-based clustering was applied to classify the curves into nine representative distinct clusters. The number of clusters was determined based on petrography and cluster analysis. The quantified pore geometry in terms of discrete variable has been called pore-facies, and like electro-facies and litho-facies could be used in facies modelling and rock typing phases of an integrated study. The dependence of dynamic reservoir rock properties on pore geometry makes the pore-facies an interesting and powerful approach for incorporation of small-scale dynamic data into a reservoir model. A comparison among various facies definitions proved that neither litho-facies nor electro-facies is capable of characterizing dynamic rock properties, and the best results were achieved by the pore-facies method. Based on this study, it is recommended that for facies analysis in reservoir modelling, methods based on pore characteristics such as pore-facies, introduced in this paper, be used rather than traditional facies that rely on matrix properties. The next generation of the reservoir models which incorporate pore-facies-based rock types will provide a basis for more accurate static and dynamic models, a narrower range of uncertainty in the models, and a better prediction of reservoir performance.

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