Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    A seismic-driven 3D model of rock mechanical facies: An example from the Asmari reservoir, SW Iran

    242312.pdf (1.401Mb)
    Access Status
    Open access
    Authors
    Gharechelou, S.
    Sohrabi, S.
    Kadkhodaie, Ali
    Rahimpour-Bonab, H.
    Honarmand, J.
    Montazeri, G.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Gharechelou, S. and Sohrabi, S. and Kadkhodaie, A. and Rahimpour-Bonab, H. and Honarmand, J. and Montazeri, G. 2016. A seismic-driven 3D model of rock mechanical facies: An example from the Asmari reservoir, SW Iran. Journal of Petroleum Science and Engineering. 146: pp. 983-998.
    Source Title
    Journal of Petroleum Science and Engineering
    DOI
    10.1016/j.petrol.2016.08.009
    ISSN
    1873-4715
    School
    Department of Petroleum Engineering
    URI
    http://hdl.handle.net/20.500.11937/23540
    Collection
    • Curtin Research Publications
    Abstract

    Asmari Formation is one of the most prolific and important hydrocarbon reservoirs in Iran. This formation in the Cheshmeh-Khosh oilfield shows mixed carbonate-siliciclastic lithology and its elastic modulus changes are correlatable with facies changes. To address these changes, we investigated the relation between sedimentary environment (facies) and texture with various elastic moduli. The Young's modulus shows higher correlation with the facies changes. Data from three wells are analyzed and used for the construction of rock mechanical facies. Based on elastic properties, facies and texture changes as well as petrophysical characteristics seven rock mechanical facies (RMFs) are recognized in the studied formation. To predict RMFs at inter-well spaces more efficiently and capturing the lateral formation property variationsa 3D rock mechanical facies model is constructed based on seismic attributes. In this method, RMFs are correlatable between the studied wells and mappable by seismic attribute in the field scale. Finally, the distribution of RMFs and their related properties is investigated in the studied field.

    Related items

    Showing items related by title, author, creator and subject.

    • Upper Jurassic of the Barrow sub-basin: sedimentology, sequence stratigraphy and implications for reservoir development
      Wulff, Keiran (1991)
      A chronostratigraphic subdivision of the Upper Jurassic synrift sediments in the eastern Barrow Sub-basin was developed from the integration of core logging, petrography, well log sequence analyses and seismic stratigraphy. ...
    • Thermal evolution of an ancient subduction interface revealed by Lu–Hf garnet geochronology, Halilbagi Complex (Anatolia)
      Pourteau, Amaury; Scherer, E.; Schorn, S.; Bast, R.; Schmidt, A.; Ebert, L. (2018)
      The thermal structure of subduction zones exerts a major influence on deep-seated mechanical and chemical processes controlling arc magmatism, seismicity, and global element cycles. Accretionary complexes exposed inland ...
    • Prediction of high-resolution reservoir facies and permeability, an integrated approach in the Irwin River Coal Measures Formation, Perth Basin, Western Australia
      Elkhateeb, Abdelrahman; Rezaee, Reza ; Kadkhodaie, Ali (2019)
      Traditionally, prediction of facies and permeability for a reservoir rock was one of many challenges in the industry that necessitates advanced and sophisticated evaluation for effective reservoir description. Three wells ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.