An efficient workflow for meshing large scale discrete fracture networks for solving subsurface flow problems

被引:3
|
作者
Pal, Mayur [1 ]
Jadhav, Sandip [2 ]
机构
[1] KTU, Fac Math & Nat Sci, Kaunas, Lithuania
[2] CC Tech Pune, Ctr Computat Technol, Pune, Maharashtra, India
关键词
discretization; discrete fracture networks; lower dimensional; meshing; structured; unstructured; SIMULATIONS; SURFACE; MODEL;
D O I
10.1080/10916466.2022.2033768
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页码:1945 / 1978
页数:34
相关论文
共 50 条
  • [1] PARALLEL MESHING, DISCRETIZATION, AND COMPUTATION OF FLOW IN MASSIVE DISCRETE FRACTURE NETWORKS
    Berrone, S.
    Scialo, S.
    Vicini, F.
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2019, 41 (04): : C317 - C338
  • [2] A mixed hybrid Mortar method for solving flow in discrete fracture networks
    Pichot, G.
    Erhel, J.
    de Dreuzy, J. R.
    APPLICABLE ANALYSIS, 2010, 89 (10) : 1629 - 1643
  • [3] A Mortar BDD Method for Solving Flow in Stochastic Discrete Fracture Networks
    Pichot, Geraldine
    Poirriez, Baptiste
    Erhel, Jocelyne
    De Dreuzy, Jean-Raynald
    DOMAIN DECOMPOSITION METHODS IN SCIENCE AND ENGINEERING XXI, 2014, 98 : 99 - 112
  • [4] EFFICIENT ALGORITHM FOR SOLVING LARGE-SCALE PORTFOLIO PROBLEMS
    BREEN, W
    JACKSON, R
    JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 1971, 6 (01) : 627 - 637
  • [5] Algorithmic approach to discrete fracture network flow modeling in consideration of realistic connections in large-scale fracture networks
    Zhang, Qihua
    Dong, Shan
    Liu, Yaoqi
    Huang, Junjie
    Xiong, Feng
    JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2024, 16 (09) : 3798 - 3811
  • [6] Generating Large Scale Network for Solving the Flow Network Problems
    Chen, S. G.
    2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4, 2009, : 1728 - 1732
  • [7] Solving large scale fixed charge network flow problems
    Eksioglu, B
    Eksioglu, SD
    Pardalos, PM
    EQUILIBRIUM PROBLEMS AND VARIATIONAL MODELS, 2003, 68 : 163 - 183
  • [8] THE EFFECT OF GEOMETRICAL AND TOPOLOGICAL CHANGES ON THE FLUID FLOW THROUGH LARGE-SCALE DISCRETE FRACTURE NETWORKS
    Aghajannezhad, Pouria
    Sellier, Mathieu
    Becker, Sid
    JOURNAL OF POROUS MEDIA, 2022, 25 (12) : 17 - 41
  • [9] Solving Large-Scale Routing Optimization Problems with Networks and Only Networks
    Soroka, A. G.
    Meshcheryakov, A. V.
    DOKLADY MATHEMATICS, 2023, 108 (SUPPL 2) : S242 - S247
  • [10] Solving Large-Scale Routing Optimization Problems with Networks and Only Networks
    A. G. Soroka
    A. V. Meshcheryakov
    Doklady Mathematics, 2023, 108 : S242 - S247