Research on the reconstruction method of porous media using multiple-point geostatistics

作     者：ZHANG Ting 1,2,3, LI DaoLun 1,2 , LU DeTang 1,2 & YANG JiaQing 1,2 1 Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China 2 Research Center of Oil and Natural Gas, University of Science and Technology of China, Hefei 230027, China 3 The 28th Research Institute, China Electronics Technology Group Corporation, Nanjing, 210007, China 

作者机构：Department of Modern Mechanics University of Science and Technology of China Hefei China Research Center of Oil and Natural Gas University of Science and Technology of China Hefei China The 28th Research Institute China Electronics Technology Group Corporation Nanjing China 

出 版 物：《Science China(Physics,Mechanics & Astronomy)》 (中国科学：物理学、力学、天文学（英文版）)

年 卷 期：2010年第53卷第9期

页      面：122-134页

核心收录：

学科分类：080704[工学-流体机械及工程] 08[工学] 0807[工学-动力工程及工程热物理] 0805[工学-材料科学与工程（可授工学、理学学位）] 0704[理学-天文学] 

基　　金：supported by the Major Program of the Chinese Academy of Sciences (Grant No. KJCX1-YW-21) the National Natural Science Foundation of China (Grant Nos. 10672159, 10702069 and 10932010) the National Basic Research Program of China (Grant No.2006CB705805) 

主　　题：porous media reconstruction multiple-point geostatistics pore space training image variogram data template 

摘      要：The pore structural characteristics have been the key to the studies on the mechanisms of fluids flow in porous media. With the development of experimental technology, the modern high-resolution equipments are capable of capturing pore structure images with a resolution of microns. But so far only 3D volume data of millimeter-scale rock samples can be obtained losslessly. It is necessary to explore the way of virtually reconstructing larger volume digital samples of porous media with the representative structural characteristics of the pore space. This paper proposes a reconstruction method of porous media using the structural characteristics captured by the data templates of multiple-point geostatistics. In this method, the probability of each structural characteristic of a pore space is acquired first, and then these characteristics are reproduced according to the probabilities to present the real structural characteristics in the reconstructed images. Our experimental results have shown that: (i) the deviation of LBM computed permeability respectively on the virtually reconstructed sandstone and the original sample is less than 1.2%; (ii) the reconstructed sandstone and the original sample have similar structural characteristics demonstrated by the variogram curves.