• DocumentCode
    535212
  • Title

    Reconstruction of porous rocks using simulated annealing algorithm

  • Author

    Jinbo Wang ; Song Wei ; Song Hao ; Dongshuang Zhang ; Yang Ju

  • Author_Institution
    State Key Lab. of Coal Resources & Safe Min., Beijing, China
  • Volume
    6
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2824
  • Lastpage
    2827
  • Abstract
    In this paper, reconstruction of porous rocks is investigated by the limited morphological information obtained from computerized tomography (CT) image. A procedure is formulated to reconstruct sandstones´ structure by simulated annealing algorithm (SAA) which is improved on the basis of the methodology developed by Rintoul and Torquato. This procedure has the advantage that it is simple to implement and generally applicable to multiphase and anisotropic structures. In our work, using n-point probability function as the dominant condition, we consider reconstructions of a variety of two-dimensional (2D) structures, including chessboard model and sandstone samples with different porosity and geometric properties. We find that there is remarkable coherence between the reconstruction system and the reference system through statistical analysis.
  • Keywords
    computerised tomography; geophysics computing; image reconstruction; porosity; porous materials; rocks; simulated annealing; statistical analysis; anisotropic structures; chessboard model; computerized tomography image; geometric properties; limited morphological information; n-point probability function; porosity properties; porous rocks reconstruction; remarkable coherence; sandstones structure reconstruction; simulated annealing algorithm; statistical analysis; two-dimensional structures; Computational modeling; Computed tomography; Correlation; Image reconstruction; Microstructure; Pixel; Simulated annealing; CT image; n-point probability function; porous rocks; reconstruction; simulated annealing algorithem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647335
  • Filename
    5647335