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International Journal for Multiscale Computational Engineering
Facteur d'impact: 1.016 Facteur d'impact sur 5 ans: 1.194 SJR: 0.452 SNIP: 0.68 CiteScore™: 1.18

ISSN Imprimer: 1543-1649
ISSN En ligne: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.2015013447
pages 339-346


Yongfei Yang
School of Petroleum Engineering, China University of Petroleum, 66, Changjiang West Road, Huangdao District of Qingdao City, Shandong Province, China,266580
Chenchen Wang
Yangtze University
Jun Yao
School of Petroleum Engineering, China University of Petroleum (East China), No. 66 Changjiang West Road, Huangdao Zone, Qingdao City, Shandong Province, 266580 P.R. China
Ying Gao
School of Petroleum Engineering in China University of Petroleum, Qingdao 266580, China


In this paper, a voxel upscaling method for digital rock is proposed; with a given upscaling factor, the porosity is chosen as the fitting function to optimize the segmentation threshold based on dichotomy, and the corresponding digital rock may be obtained; Finally, for homogeneous sandstone and heterogeneous carbonate rock, the optimal segmentation thresholds with different upscaling factors are analyzed; also the corresponding geometry and topology parameters are compared based on the pore network model. Results show that the voxel upscaling method for digital rock with dichotomy can calculate the optimal segmentation threshold quickly, and the corresponding voxels of digital rock decrease greatly, which could improve the calculation efficiency highly; Meanwhile, the optimal segmentation threshold could reflect the rock heterogeneity to some extent; the higher the optimal segmentation threshold is, the greater the rock heterogeneity will be, and the optimal segmentation threshold decreases with the increase of the upscaling factor; The sandstone voxel representative elementary volume (REV) is obtained with the structure analysis of each digital rock. All these results are of important significance for the upscaling study from microscopic scale to macroscopic scale.