The classical stochastic discrete fracture network(DFN)approach is an attempt to simulate the statistical characteristics of fractures in a site,and does not need to match the observed fractures.In this study,the effe...The classical stochastic discrete fracture network(DFN)approach is an attempt to simulate the statistical characteristics of fractures in a site,and does not need to match the observed fractures.In this study,the effects of conditioning the stochastically generated fractures with the fracture mapping and geophysical survey data on the equivalent properties of a fracture system were evaluated.A hypothetical real fracture system was assumed,and the classical and conditional stochastic approaches were applied to simulate it.Then the equivalent network properties such as equivalent permeability and density of the percolating cluster were calculated and compared to each other.展开更多
基金supported by the Nuclear Research and Development Program of the National Research Foundation of Korea(NRF)funded by the Ministry of Science and ICT(No.2017M2A8A5014858).
文摘The classical stochastic discrete fracture network(DFN)approach is an attempt to simulate the statistical characteristics of fractures in a site,and does not need to match the observed fractures.In this study,the effects of conditioning the stochastically generated fractures with the fracture mapping and geophysical survey data on the equivalent properties of a fracture system were evaluated.A hypothetical real fracture system was assumed,and the classical and conditional stochastic approaches were applied to simulate it.Then the equivalent network properties such as equivalent permeability and density of the percolating cluster were calculated and compared to each other.
