A large percentage of subsurface hydrocarbon reservoirs are characterized as very complex due to presence of small to large scale fractures. Modeling of multi-physics processes like, environmental flow, CO2 sequestration, hydrocarbon flows, and so on, through such geologically complex reservoirs is challenging. Main challenges comes from the large scale variation in the fracture scales. Use of traditional modeling approaches, based on dual-porosity/dual permeability medium, to model such complex systems is complicated and results in incorrect flow patterns. Precise and efficient modeling of the fracture networks requires fractures to be represented as lower dimensional objects, which requires an efficient gridding technique. In last decade alone modeling of flow through discrete fracture systems has attracted attention from a number of researchers. As a result few new gridding and discretization techniques have been proposed to model flow through discrete fracture network systems (DFNs). DFN's usually involve very high or very low angle fracture-fracture intersections and sometime presence of small to very large length scale fracture networks. In this article an efficient workflow for meshing of large scale complex DFN's networks as lower dimensional objects is presented supported by quantitative results with aim of developing a software tool box, which could be coupled to a subsurface multi-phase flow simulator.
INTERFACES IN COMPUTER SCIENCE AND OPERATIONS RESEARCH: ADVANCES IN METAHEURISTICS, OPTIMIZATION, AND STOCHASTIC MODELING TECHNOLOGIES,
1997,
: 183
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194
机构:
Geomathematics Key Laboratory of Sichuan, College of Mathematics and Physics, Chengdu University of Technology, Chengdu,610059, ChinaGeomathematics Key Laboratory of Sichuan, College of Mathematics and Physics, Chengdu University of Technology, Chengdu,610059, China
Huang, Guangxin
Liu, Yuanyuan
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机构:
Geomathematics Key Laboratory of Sichuan, College of Mathematics and Physics, Chengdu University of Technology, Chengdu,610059, ChinaGeomathematics Key Laboratory of Sichuan, College of Mathematics and Physics, Chengdu University of Technology, Chengdu,610059, China
Liu, Yuanyuan
Yin, Feng
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机构:
College of Mathematical and statistics, Sichuan University of Science and Engineering, Zigong,643000, ChinaGeomathematics Key Laboratory of Sichuan, College of Mathematics and Physics, Chengdu University of Technology, Chengdu,610059, China
机构:
China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R ChinaChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Wang, Bin
Feng, Yin
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机构:
Univ Louisiana Lafayette, Dept Petr Engn, Lafayette, LA 70504 USAChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Feng, Yin
Zhou, Xu
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机构:
Louisiana State Univ, Craft & Hawkins Dept Petr Engn, Baton Rouge, LA 70803 USAChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Zhou, Xu
Pieraccini, Sandra
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机构:
Politecn Torino, Dipartimento Ingn Meccanica & Aerosp, Turin, ItalyChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Pieraccini, Sandra
Scialo, Stefano
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机构:
Politecn Torino, Dipartimento Sci Matemat, Turin, ItalyChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
Scialo, Stefano
Fidelibus, Corrado
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机构:
Univ Salento, Dipartimento Ingn Innovaz, Lecce, ItalyChina Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China