swMATH ID: 39743
Software Authors: Dedner, Andreas; Kane, Birane; Klöfkorn, Robert; Nolte, Martin
Description: Python framework for hp-adaptive discontinuous Galerkin methods for two-phase flow in porous media. In this paper we present a framework for solving two-phase flow problems in porous media. The discretization is based on a Discontinuous Galerkin method and includes local grid adaptivity and local choice of polynomial degree. The method is implemented using the new Python frontend exttt{Dune-FemPy} to the open source framework Dune. The code used for the simulations is made available as Jupyter notebook and can be used through a Docker container. We present a number of time stepping approaches ranging from a classical IMPES method to a fully coupled implicit scheme. The implementation of the discretization is very flexible allowing to test different formulations of the two-phase flow model and adaptation strategies.
Homepage: https://www.dune-project.org/modules/dune-fempy/
Source Code:  https://github.com/adedner/dune-fempy
Dependencies: Python
Keywords: discontinuous Galerkin; hp-adaptivity; porous media two-phase flow; impes; dune; Python
Related Software: Python; DUNE-FEM-DG; DUNE-FEM; DUNE; UFL; FEniCS; Firedrake; Feel++; SyFi; PETSc; deal.ii; GitHub; DUNE-ALUGrid; ALUGrid; Assimulo; CLAWPACK; SciPy; Kaskade7; FoamGrid; Curvilinear Grid
Cited in: 5 Publications

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