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    A new approach in petrophysical rock typing

    265431.pdf (2.414Mb)
    Access Status
    Open access
    Authors
    Mirzaei-Paiaman, A.
    Ostadhassan, M.
    Rezaee, M. Reza
    Saboorian-Jooybari, H.
    Chen, Z.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Mirzaei-Paiaman, A. and Ostadhassan, M. and Rezaee, M.R. and Saboorian-Jooybari, H. and Chen, Z. 2018. A new approach in petrophysical rock typing. Journal of Petroleum Science and Engineering. 166: pp. 445-464.
    Source Title
    Journal of Petroleum Science and Engineering
    DOI
    10.1016/j.petrol.2018.03.075
    ISSN
    0920-4105
    School
    WASM: Minerals, Energy and Chemical Engineering (WASM-MECE)
    URI
    http://hdl.handle.net/20.500.11937/66997
    Collection
    • Curtin Research Publications
    Abstract

    Petrophysical rock typing in reservoir characterization is an important input for successful drilling, production, injection, reservoir studies and simulation. In this study petrophysical rock typing is divided into two major categories: 1) a petrophysical static rock type (PSRT): a collection of rocks having the same primary drainage capillary pressure curves or unique water saturation for a given height above the free water level, 2) a petrophysical dynamic rock type (PDRT): a set of rocks with a similar fluid flow behavior. It was shown that static and dynamic rock types do not necessarily overlap or share petrophysical properties, regardless of wettability. In addition, a new index is developed to define PDRTs via the Kozeny-Carman equation and Darcy's law. We also proposed a different index for delineation of PSRTs by combining the Young–Laplace capillary pressure expression and the Kozeny-Carman equation. These new indices were compared with the existing theoretical and empirical indices. Results showed that our indices are representatives of previously developed models which were also tested with mercury injection capillary pressure, water-oil primary drainage capillary pressure, and water-oil relative permeability data on core plugs from a highly heterogeneous carbonate reservoir in an Iranian oil field. This study enabled us to modify the conventional J-function to enhance its capability of normalizing capillary pr essure data universally.

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