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Estimation of permeability of 3-D discrete fracture networks: An alternative possibility based on trace map analysis  ( SCI-EXPANDED收录 EI收录)   被引量:53

文献类型:期刊文献

英文题名:Estimation of permeability of 3-D discrete fracture networks: An alternative possibility based on trace map analysis

作者:Huang, Na[1,2];Jiang, Yujing[1,2];Liu, Richeng[3];Li, Bo[4]

机构:[1]Shandong Univ Sci & Technol, State Key Lab Min Disaster Prevent & Control, Shandong Prov & Minist Sci & Technol, Qingdao 266510, Peoples R China;[2]Nagasaki Univ, Sch Engn, 1-14 Bunkyo Machi, Nagasaki 8528521, Japan;[3]China Univ Min & Technol, State Key Lab Geomech & Deep Underground Engn, Xuzhou 221116, Peoples R China;[4]Shaoxing Univ, Rock Mech & Geohazards Ctr, Shaoxing 312000, Peoples R China

年份:2017

卷号:226

起止页码:12

外文期刊名:ENGINEERING GEOLOGY

收录:SCI-EXPANDED(收录号:WOS:000410869000002)、、EI(收录号:20172603810514)、Scopus(收录号:2-s2.0-85021143029)、WOS

基金:This study has been partially funded by National Natural Science Foundation of China (Grant Nos. 51379117, 51609136, 51323004) and China Scholarship Council (CSC NO. 201408370092). These supports are gratefully acknowledged.

语种:英文

外文关键词:Fracture network; Predictive model; Permeability; Cut plane

外文摘要:The permeability of 3-D discrete fracture networks (DFNs) is estimated based on the geometrical parameters of 3-D model and permeability of its 2-D trace maps. This is achieved by the analysis of 84 3-D DFN models and 672 2-D DFN models that are cut from 3-D ones. The relationships between permeability of 3-D model and parameters such as fracture density, fracture length exponent of 3-D models and permeability of 2-D cut planes were analyzed. A multi -variable regression function was proposed for predicting 3-D fracture network permeability. The results show that the dimensionless equivalent permeability of 3-D fracture networks increases with the increasing fracture density following linear relationship. For the fracture networks with the fracture length exponent a = 2.0, the fracture network that carries flow is mainly consisted of several long fractures; whereas the fracture network connectivity is dominated by a large amount of relatively small fractures when a = 4.5. The permeability of 2-D DFN models that are cut from an original 3-D one underestimates the permeability of 3-D DFNs by approximately 10.45-80.92%. The regression function estimates the evolution of permeability of 3-D DFNs with a wide range of fracture density from 0.025 to 0.125 m(-3), and the predicted results agree with that calculated using Lang's method. The proposed model provides a simple method to approximate permeability of 3-D fracture networks using parameters that can be easily obtained from analysis on outcrop trace maps of fractured rock masses.

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