Pore space reconstruction of vuggy carbonates using microtomography and multiple-point statistics

被引:148
|
作者
Okabe, Hiroshi [1 ]
Blunt, Martin J.
机构
[1] Imperial Coll London, Dept Erth Sci & Engn, London SW7 2AZ, England
[2] Japan Oil Gas & Met Natl Corp, Mihama Ku, Chiba 2610025, Japan
关键词
D O I
10.1029/2006WR005680
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
reconstruct complex porous media, such as carbonates, we propose a two-step approach to combine different types of images: microtomography at the resolution of a few microns to resolve large pores and vugs, with statistically reconstructed high-resolution images for smaller features. Two-dimensional (2-D) thin sections provide multiple-point statistics which describe the statistical relation between multiple spatial locations that can be used to generate 3-D images with accurate connectivity. These statistical reconstructions are combined with images directly measured by microtomography. The integrated method is tested on carbonates for which 3-D images of disconnected vugs are captured, while 2-D thin sections characterize the small-scale structure. The integrated images have permeabilities computed using the lattice Boltzmann method that are similar to laboratory-measured values.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Multiple-point statistics simulation of continuous variables
    Strebelle, S
    [J]. GIS and Spatial Analysis, Vol 1and 2, 2005, : 732 - 736
  • [22] Indicator simulation accounting for multiple-point statistics
    Ortiz, JM
    Deutsch, CV
    [J]. MATHEMATICAL GEOLOGY, 2004, 36 (05): : 545 - 565
  • [23] A reconstruction method for three-dimensional pore space using multiple-point geology statistic based on statistical pattern recognition and microstructure characterization
    Xu, Zhi
    Teng, Qizhi
    He, Xiaohai
    Li, Zhengji
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2013, 37 (01) : 97 - 110
  • [24] Accelerating simulation for the multiple-point statistics algorithm using vector quantization
    Zuo, Chen
    Pan, Zhibin
    Liang, Hao
    [J]. PHYSICAL REVIEW E, 2018, 97 (03)
  • [25] Prediction of permeability for porous media reconstructed using multiple-point statistics
    Okabe, H
    Blunt, MJ
    [J]. PHYSICAL REVIEW E, 2004, 70 (06):
  • [26] Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics
    Sebastien Strebelle
    [J]. Mathematical Geology, 2002, 34 : 1 - 21
  • [27] Conditional simulation of complex geological structures using multiple-point statistics
    Strebelle, S
    [J]. MATHEMATICAL GEOLOGY, 2002, 34 (01): : 1 - 21
  • [28] Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics
    Barfod, Adrian A. S.
    Vilhelmsen, Troels N.
    Jorgensen, Flemming
    Christiansen, Anders V.
    Hoyer, Anne-Sophie
    Straubhaar, Julien
    Moller, Ingelise
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2018, 22 (10) : 5485 - 5508
  • [29] Integrating multiple-point statistics into sequential simulation algorithms
    Ortiz, JM
    Emery, X
    [J]. GEOSTATISTICS BANFF 2004, VOLS 1 AND 2, 2005, 14 : 969 - 978
  • [30] Research on the reconstruction method of porous media using multiple-point geostatistics
    Ting Zhang
    DaoLun Li
    DeTang Lu
    JiaQing Yang
    [J]. Science China Physics, Mechanics and Astronomy, 2010, 53 : 122 - 134