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

    Genetic algorithm-based pore network extraction from micro-computed tomography images

    188811_188811.pdf (396.0Kb)
    Access Status
    Open access
    Authors
    Ebrahimi, A.
    Jamshidi, S.
    Iglauer, Stefan
    Bozorgmehry, R.
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ebrahimi, Ali Nejad and Jamshidi, Saeid and Iglauer, Stefan and Bozorgmehry, Ramin. 2013. Genetic algorithm-based pore network extraction from micro-computed tomography images. Chemical Engineering Science. 92: pp. 157-166.
    Source Title
    Chemical Engineering Science
    DOI
    10.1016/j.ces.2013.01.045
    ISSN
    0009-2509
    Remarks

    NOTICE: this is the author’s version of a work that was accepted for publication in Chemical Engineering Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Chemical Engineering Science, Vol. 92 (2013). DOI: 10.1016/j.ces.2013.01.045

    URI
    http://hdl.handle.net/20.500.11937/24341
    Collection
    • Curtin Research Publications
    Abstract

    A genetic-based pore network extraction method from micro-computed tomography (micro-CT) images is proposed in this paper. Several variables such as the number, radius and location of pores, the coordination number, as well as the radius and length of the throats are used herein as the optimization parameters. Two approaches to generate the pore network structure are presented. Unlike previous algorithms, the presented approaches are directly based on minimizing the error between the extracted network and the real porous medium. This leads to the generation of more accurate results while reducing required computational memories. Two different objective functions are used in building the network. In the first approach, only the difference between the real micro-CT images of the porous medium and the sliced images from the generated network is selected as the objective function which is minimized via a genetic algorithm (GA). In order to further improve the structure and behavior of the generated network, making it more representative of the real porous medium, a second optimization has been used in which the contrast between the experimental and the predicted values of the network permeability is minimized via GA. We present two case studies for two different complex geological porous media, Clashach sandstone and Indiana limestone. We compare porosity and permeability predicted by the GA generated networks with experimental values and find an excellent match.

    Related items

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

    • Pore-scale simulation of NMR response
      Talabi, O.; Al-Sayari, S.; Iglauer, Stefan; Blunt, M. (2009)
      The random walk method is used to simulate magnetization decay in porous media. The simulations were performed on images of the pore space obtained using micro-CT scanning and in topologically equivalent networks extracted ...
    • Comparisons of pore size distribution: A case from the Western Australian gas shale formations
      Al Hinai, Adnan; Rezaee, M. Reza; Esteban, L.; Labani, Mohammad Mahdi (2014)
      Pore structure of shale samples from Triassic Kockatea and Permian Carynginia formations in the Northern Perth Basin, Western Australia is characterized. Transport properties of a porous media are regulated by the topology ...
    • Pore geometry in gas shale reservoirs
      Al Hinai, Adnan Saif Hamed; Rezaee, M. Reza (2015)
      Assessing shale formations is a major challenge in the oil and gas industry. The complexities are mainly due to the ultra-low permeability, the presence of a high percentage of clay, and the heterogeneity of the formation. ...
    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.