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
  • [11] Flow in multi-scale discrete fracture networks with stress sensitivity
    Liang, Bin
    Jiang, Hanqiao
    Li, Junjian
    Gong, Changcheng
    Jiang, Ruyi
    Pei, Yanli
    Wei, Shiming
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2016, 35 : 851 - 859
  • [12] Solving Large-scale Spatial Problems with Convolutional Neural Networks
    Owerko, Damian
    Kanatsoulis, Charilaos I.
    Ribeiro, Alejandro
    FIFTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, IEEECONF, 2023, : 1064 - 1069
  • [13] Efficient partitioning of conforming virtual element discretizations for large scale discrete fracture network flow parallel solvers
    Berrone, Stefano
    Raeli, Alice
    Engineering Geology, 2022, 306
  • [14] Efficient partitioning of conforming virtual element discretizations for large scale discrete fracture network flow parallel solvers
    Berrone, Stefano
    Raeli, Alice
    ENGINEERING GEOLOGY, 2022, 306
  • [15] An integrated workflow for stress and flow modelling using outcrop-derived discrete fracture networks
    Bisdom, K.
    Nick, H. M.
    Bertotti, G.
    COMPUTERS & GEOSCIENCES, 2017, 103 : 21 - 35
  • [16] A GENERALIZED MIXED HYBRID MORTAR METHOD FOR SOLVING FLOW IN STOCHASTIC DISCRETE FRACTURE NETWORKS
    Pichot, G.
    Erhel, J.
    de Dreuzy, J. -R.
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2012, 34 (01): : B86 - B105
  • [17] From outcrop scanlines to discrete fracture networks, an integrative workflow
    Lepillier, Baptiste
    Bruna, Pierre-Olivier
    Bruhn, David
    Bastesen, Eivind
    Daniilidis, Alexandros
    Garcia, Oscar
    Torabi, Anita
    Wheeler, Walter
    JOURNAL OF STRUCTURAL GEOLOGY, 2020, 133
  • [18] Efficient hybrid algorithm for solving large scale constrained linear programming problems
    Navidi, H.
    Malek, A.
    Khosravi, P.
    Journal of Applied Sciences, 2009, 9 (18) : 3402 - 3406
  • [19] EFFICIENT METHODS FOR SOLVING LARGE-SCALE CONVEX PROGRAMMING-PROBLEMS
    IUDIN, DB
    NEMIROVSKII, AS
    MATEKON, 1980, 16 (03): : 23 - 52
  • [20] An efficient computational method for solving large-scale differential sensitivity problems
    del Barrio, EP
    NUMERICAL HEAT TRANSFER PART B-FUNDAMENTALS, 2003, 43 (04) : 353 - 372