• DocumentCode
    2429681
  • Title

    A hybrid reconstruction method of sandstone from 2D section image

  • Author

    Tang, Tang ; Qi-Zhi Teng ; Xiao-Hai He

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Sichuan Univ., Chengdu
  • fYear
    2008
  • fDate
    7-11 June 2008
  • Firstpage
    342
  • Lastpage
    347
  • Abstract
    We present a hybrid algorithm to reconstruct 3D microstructure from 2D section image of sandstone. Utilizing porosity and autocorrelation function of 2D image, truncated Gaussian method based on fast Fourier transformation is used to reconstruct an initial structure rapidly with less accuracy. The initial structure is evolved by simulated annealing method to reconstruct a microstructure with the same statistic characteristics of 2D section image. Permeability of reconstructed microstructure estimated by Kozeny-Carman formula is close to that of tomographic images of sandstone. Experiments and comparisons show that the hybrid reconstruction method is more efficient and effective than simulated annealing algorithm alone.
  • Keywords
    Gaussian processes; correlation methods; fast Fourier transforms; image reconstruction; permeability; porosity; simulated annealing; statistical analysis; tomography; 2D section image; 3D microstructure reconstruction; Kozeny-Carman formula; autocorrelation function; fast Fourier transformation; porosity; reconstructed microstructure permeability estimation; sandstone; simulated annealing method; statistic characteristics; tomographic images; truncated Gaussian method; Autocorrelation; Computational modeling; Image reconstruction; Iterative algorithms; Microstructure; Permeability; Reconstruction algorithms; Signal processing algorithms; Simulated annealing; Statistics; Fourier Tranforms; Reconstruction; Simulated Annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2008 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-2310-1
  • Electronic_ISBN
    978-1-4244-2311-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2008.4590369
  • Filename
    4590369