Anisotropic Mesh Adaptation for 3D Anisotropic Diffusion Problems with Application to Fractured Reservoir Simulation

被引:4
|
作者
Li, Xianping [1 ]
Huang, Weizhang [2 ]
机构
[1] Univ Missouri Kansas City, Dept Math & Stat, Kansas City, MO 64110 USA
[2] Univ Kansas, Dept Math, Lawrence, KS 66045 USA
基金
美国国家科学基金会;
关键词
Finite element method; anisotropic mesh adaptation; three dimensional; anisotropic diffusion; discrete maximum principle; petroleum engineering; FINITE-ELEMENT APPROXIMATIONS; DISCRETE MAXIMUM PRINCIPLE; SOLVER-INDEPENDENT CFD; HEAT-TRANSPORT; METRIC SPECIFICATIONS; UNSTRUCTURED GRIDS; ELLIPTIC-EQUATIONS; VOLUME SCHEMES; TIGHT GAS; PART II;
D O I
10.4208/nmtma.2017.m1625
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Anisotropic mesh adaptation is studied for linear finite element solution of 3D anisotropic diffusion problems. The M-uniform mesh approach is used, where an anisotropic adaptive mesh is generated as a uniform one in the metric specified by a tensor. In addition to mesh adaptation, preservation of the maximum principle is also studied. Some new sufficient conditions for maximum principle preservation are developed, and a mesh quality measure is defined to server as a good indicator. Four different metric tensors are investigated: one is the identity matrix, one focuses on minimizing an error bound, another one on preservation of the maximum principle, while the fourth combines both. Numerical examples show that these metric tensors serve their purposes. Particularly, the fourth leads to meshes that improve the satisfaction of the maximum principle by the finite element solution while concentrating elements in regions where the error is large. Application of the anisotropic mesh adaptation to fractured reservoir simulation in petroleum engineering is also investigated, where un-physical solutions can occur and mesh adaptation can help improving the satisfaction of the maximum principle.
引用
收藏
页码:913 / 940
页数:28
相关论文
共 50 条
  • [41] Image Frame Fusion using 3D Anisotropic Diffusion
    Kahraman, Fatih
    Mendi, C. Deniz
    Gokmen, Muhittin
    23RD INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES, 2008, : 605 - +
  • [42] Edge Aware Anisotropic Diffusion for 3D Scalar Data
    Hossain, Zahid
    Moeller, Torsten
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2010, 16 (06) : 1376 - 1385
  • [43] Speckle reducing anisotropic diffusion for 3D ultrasound images
    Sun, QL
    Hossack, JA
    Tang, JS
    Acton, ST
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2004, 28 (08) : 461 - 470
  • [44] An anisotropic mesh adaptation method for the finite element solution of variational problems
    Huang, Weizhang
    Li, Xianping
    FINITE ELEMENTS IN ANALYSIS AND DESIGN, 2010, 46 (1-2) : 61 - 73
  • [45] Three-dimensional anisotropic mesh adaptation for phase change problems
    Belhamadia, Y
    Fortin, A
    Charnberland, É
    JOURNAL OF COMPUTATIONAL PHYSICS, 2004, 201 (02) : 753 - 770
  • [46] In-memory Parallel Anisotropic Mesh Adaptation for Unsteady Hypersonic Problems
    Sahni, Onkar
    Brown, Cameron S.
    Gica, Mikiel
    Kaur, Sharanjeet
    Salazar, Giovanni
    Keistler, Patrick
    AIAA AVIATION FORUM AND ASCEND 2024, 2024,
  • [47] Developing a tool for 3D reservoir simulation of hydraulically fractured wells
    Shaoul, J. R.
    Behr, A.
    Mtchedlishvili, G.
    SPE RESERVOIR EVALUATION & ENGINEERING, 2007, 10 (01) : 50 - 59
  • [48] Anisotropic wear framework for 3D contact and rolling problems
    Rodriguez-Tembleque, Luis
    Abascal, Ramon
    Aliabadi, Mohammad Hossien
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2012, 241 : 1 - 19
  • [49] Adjoint Sensitivity Analysis of 3D Problems with Anisotropic Materials
    Kalantari, Laleh S.
    Ahmed, Osman
    Bakr, Mohamed H.
    Nikolova, Natalia K.
    2014 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2014,
  • [50] PARALLEL MULTIGRID SOLVER FOR 3D ANISOTROPIC ELLIPTIC PROBLEMS
    GARTEL, U
    HYPERCUBE AND DISTRIBUTED COMPUTERS, 1989, : 37 - 47