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    Image-based rock typing using local homogeneity filter and Chan-Vese model

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    Rock_Typing_CV_CG.pdf
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Wang, Yuzhu cc
    Alzaben, Abdulaziz cc
    Arns, Christoph H.
    Sun, Shuyu cc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computational Transport Phenomena Lab
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    KAUST Grant Number
    BAS/1/1351-01
    URF/1/3769-01
    URF/1/4074-01
    Date
    2021-02-06
    Online Publication Date
    2021-02-06
    Print Publication Date
    2021-05
    Embargo End Date
    2023-03-13
    Submitted Date
    2020-04-09
    Permanent link to this record
    http://hdl.handle.net/10754/668177
    
    Metadata
    Show full item record
    Abstract
    Image-based rock typing is carried out to classify an image of the heterogeneous rock sample into different rock types where each rock type can be treated as a homogeneous porous medium. In this study, we propose an innovative method for rock typing of the heterogeneous rock sample via three steps. First, the target image, a segmented binary image with two phases of pore and solid, is consecutively inputted into two filters of a local homogeneity filter and an average filter to increase the contrast between different rock types and decrease the contrast within each single rock type. Second, Chan-Vese model is applied to classify the filtered image into different rock types. Third, a thresholding is used to remove the particles, which are treated as noisy particles, smaller than a given preset size. The main idea of the local homogeneity filtering introduced in this study is undertaken by counting the number of pixels that possess the same phases as the center pixel within a 3 × 3 pixels neighborhood. This process is carried out iteratively, which means the previously estimated pixel will be used in the estimation of its neighbor unprocessed pixels. We demonstrate the application of the proposed method in several heterogeneous images and present good performance.
    Citation
    Wang, Y., Alzaben, A., Arns, C. H., & Sun, S. (2021). Image-based rock typing using local homogeneity filter and Chan-Vese model. Computers & Geosciences, 150, 104712. doi:10.1016/j.cageo.2021.104712
    Sponsors
    The four authors cheerfully acknowledge that this work is supported by King Abdullah University of Science and Technology (KAUST) through the grants BAS/1/1351-01, URF/1/4074-01, and URF/1/3769-01. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.
    Publisher
    Elsevier BV
    Journal
    Computers & Geosciences
    DOI
    10.1016/j.cageo.2021.104712
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0098300421000261
    Relations
    Is Supplemented By:
    • [Software]
      Title: yuzhu561/Rock_Typing_CV: This code is developed for image-based rock typing of porous media using Chan-Vese model. Publication Date: 2020-04-15. github: yuzhu561/Rock_Typing_CV Handle: 10754/668349
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.cageo.2021.104712
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computational Transport Phenomena Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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