• DocumentCode
    2726956
  • Title

    3D porosity simulation of porous media using continuous multiple-point geostatistics

  • Author

    Du, Yi ; Zhang, Ting

  • Author_Institution
    Sch. of Comput. & Inf., Shanghai Second Polytech. Univ., Shanghai, China
  • Volume
    4
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    376
  • Lastpage
    380
  • Abstract
    Multiple-point geostatistics (MPS) simulation originates from geostatistical fields and allows extracting multiple-point structures from training images, after that MPS can copy these structures to the regions to be simulated. Porosity is quite significant to the characterization and prediction of transport properties. To simulate the porosity value, a porosity simulation method using continuous MPS based on filters is proposed to simulate the continuous values of porosity. Filters are used to realize dimension reduction, and a filter score space can be created by using filters. All similar training patterns fall into a cell in the filter score space to form a prototype. During simulation, a training pattern from a cell is randomly drawn, and pasted back onto the simulation grid. Experimental results show that our method is better than two-point geostatistics, and regenerates the characteristics of the training image well.
  • Keywords
    digital simulation; feature extraction; interpolation; porosity; statistics; filter score space; multiple-point geostatistics simulation; porosity simulation method; porous media simulation; training image extraction; transport property prediction; Computational modeling; Computer simulation; Data mining; Filters; Fluid flow; Interpolation; Laboratories; Prototypes; Statistics; Stochastic processes; filter; histogram; multiple-point geostatistics; porosity; simulate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357673
  • Filename
    5357673