Numerical estimation of fracture network permeability based on GEOFRAC model for groundwater modeling in a tin mine
Author(s) -
Lei Lü,
Chunxue Liu,
Gang Chen,
Liang Guo
Publication year - 2018
Publication title -
journal of water and climate change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 22
eISSN - 2408-9354
pISSN - 2040-2244
DOI - 10.2166/wcc.2018.283
Subject(s) - groundwater , geology , groundwater flow , fracture (geology) , permeability (electromagnetism) , outcrop , mining engineering , geotechnical engineering , soil science , petroleum engineering , geomorphology , aquifer , membrane , biology , genetics
Numerous geological research studies and mining operations have proved that fracture is one of the important factors controlling groundwater flow, mineralization, and ore distribution in metallic deposits. Most current approaches to groundwater flow simulation of naturally fractured media rely on the calculation of equivalent permeability tensors from a discrete fracture network (DFN). This study is aimed at developing a rational two-dimensional DFN by GEOFRAC, a geostatistical method of fracture direction and locations of sample data from a tin mine in the Gaosong area, Gejiu city, southwest China, and utilizing 3,724 outcrop fractures sampled on the ground of mountain Gaosong. Principal inputs of the DFN are density, direction, and continuity of disks that constitute a fracture plane. Fractures simulated by GEOFRAC were validated in that their directions corresponded well with those of the sample fractures. The permeability tensor of each modeling grid was then calculated based on the fracture network constructed. The results showed that GEOFRAC is valuable for two-dimensional DFN modeling in mines and other fracture-controlled geological phenomena, such as groundwater flow and slope failure. doi: 10.2166/wcc.2018.283 s://iwaponline.com/jwcc/article-pdf/10/2/243/568263/jwc0100243.pdf Lei Lu Chunxue Liu (corresponding author) School of Urban and Environment, Yunnan University of Finance and Economics, Kunming, China E-mail: chunxueliu@ynufe.edu.cn Gang Chen Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China Liang Guo Yunnan Provincial Geological Prospecting Engineering Corp., Kunming, China
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom