Algorithmic approach to discrete fracture network flow modeling in consideration of realistic connections in large-scale fracture networks
作者机构:Badong National Observation and Research Station of GeohazardsChina University of GeosciencesWuhan430074China SINOPEC Shanghai Engineering Co.Ltd.Shanghai200120China Faculty of EngineeringChina University of GeosciencesWuhan430074China
出 版 物:《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报(英文版))
年 卷 期:2024年第16卷第9期
页 面:3798-3811页
核心收录:
学科分类:07[理学] 0818[工学-地质资源与地质工程] 0701[理学-数学] 070101[理学-基础数学]
基 金:sponsored by the General Program of the National Natural Science Foundation of China(Grant Nos.52079129 and 52209148) the Hubei Provincial General Fund,China(Grant No.2023AFB567)
主 题:Discrete fracture network(DFN)flow model Geometric algorithm Fracture flow Water-sealing effect
摘 要:Analyzing rock mass seepage using the discrete fracture network(DFN)flow model poses challenges when dealing with complex fracture *** paper presents a novel DFN flow model that incorporates the actual connections of large-scale ***,this model efficiently manages over 20,000 fractures without necessitating adjustments to the DFN *** geometric analyses,such as identifying connected fractures,dividing the two-dimensional domain into closed loops,triangulating arbitrary loops,and refining triangular elements,are fully *** analysis processes are comprehensively introduced,and core algorithms,along with their pseudo-codes,are outlined and explained to assist readers in their programming *** accuracy of geometric analyses is validated through topological graphs representing the connection relationships between *** practical application,the proposed model is employed to assess the water-sealing effectiveness of an underground storage cavern *** analysis results indicate that the existing design scheme can effectively prevent the stored oil from leaking in the presence of both dense and sparse ***,following extensive modification and optimization,the scale and precision of model computation suggest that the proposed model and developed codes can meet the requirements of engineering applications.