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FRACTAL MONTE CARLO SIMULATIONS OF THE EFFECTIVE PERMEABILITY FOR A FRACTURE NETWORK  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:FRACTAL MONTE CARLO SIMULATIONS OF THE EFFECTIVE PERMEABILITY FOR A FRACTURE NETWORK

作者:Chen, Aimin[1];Miao, Tongjun[2];Li, Zun[2];Zhang, Huajie[2];Jiang, Lijuan[2];Liu, Junfeng[2];Yan, Changbin[3];Yu, Boming[4]

第一作者:陈爱敏

通讯作者:Miao, TJ[1];Yu, BM[2]

机构:[1]Xinxiang Univ, Coll Chem & Chem Engn, Xinxiang 453003, Henan, Peoples R China;[2]Xinxiang Univ, Sch Phys & Elect Engn, Xinxiang 453003, Henan, Peoples R China;[3]Zhengzhou Univ, Sch Civil Engn, Zhengzhou 450001, Henan, Peoples R China;[4]Huazhong Univ Sci & Technol, Sch Phys, Wuhan 430074, Hubei, Peoples R China

第一机构:新乡学院化学化工学院

通讯机构:[1]corresponding author), Xinxiang Univ, Sch Phys & Elect Engn, Xinxiang 453003, Henan, Peoples R China;[2]corresponding author), Huazhong Univ Sci & Technol, Sch Phys, Wuhan 430074, Hubei, Peoples R China.|[11071]新乡学院;

年份:2022

卷号:30

期号:04

外文期刊名:FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY

收录:;EI(收录号:20222012103094);Scopus(收录号:2-s2.0-85129807337);WOS:【SCI-EXPANDED(收录号:WOS:000804026300018)】;

基金:This work was supported by the National Natural Science Foundations of China (through Grant No. U1704132 and No.41972270), the Natural Science Foundation of Henan Province, China (Grant No. 222300420512), the Key scientific research projects of higher education institutions in Henan Province (Grant No. 17A470013 and No.21A430031) and the ninth group of key disciplines in Henan province (Grant No. 2018119).

语种:英文

外文关键词:Fractal Monte Carlo Method; Permeability; Fractal; Fracture Networks

摘要:Modeling fluid flow and transport in fracture network is of considerable importance in a wide range of science and engineering. In this work, a probability model of the effective permeability for fracture network is developed based on fractal theory and Monte Carlo method. The proposed numerical model is expressed as a function of the fractal dimension, the minimum/maximum trace length, fracture orientation as well as random number, and the validity is validated by comparison with the analytical fractal model. It is found that the effective permeability increases with the increase of the fractal dimension and fracture density of fracture network, as well as decreases with increase of the dip angle of fractures. The proposed Fractal Monte Carlo method can significantly reduce the computational load compared with conventional numerical techniques and also permits to relate the other flow and transport properties in fracture networks.

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