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

science china(Physics,{{2. & Astronomy) 2010年第9期53卷 122-134页

作者： zhang ting 1,2.3. li daolun 1,2.,{2.,2.& yang jiaqing 1,2.1 department of modern mechanics, University of science and technology of china, hefei 2.002., china 2.Research Center of Oil and Natural Gas, University of science and technology of china, hefei 2.002., china 3 The 2.th Research Institute, china Electronics technology Group Corporation, Nanjing, 2.0007, china 1. department of modern {{2. University of Science and Technology of China Hefei 230027 China2. Research Center of Oil and Natural Gas University of Science and Technology of China Hefei 230027 China3. The 28th Research Institute China Electronics Technology Group Corporation Nanjing 210007 China

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 mil{2.meter-scale rock samples can be obtained losslessly. It is necessary to explore the way of virtually reconstruc{2. 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 probabi{2.ty of each structural characteristic of a pore space is acquired first, and then these characteristics are reproduced according to the probabi{2.ties to present the real structural characteristics in the reconstructed images. Our experimental results have shown that: (i) the deviation of LBM computed permeabi{2.ty 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.

关键词： porous media reconstruction multiple-point geostatistics pore space training image variogram data template

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