A robust iterative scheme for the slightly compressible Darcy-Forchheimer equations
For researchers simulating gas flow in porous media (e.g., combustion), this provides a robust solver, but the contribution is incremental as it builds on existing methods.
The paper proposes an iterative linearization scheme for solving the nonlinear algebraic systems arising from discretization of slightly compressible Darcy-Forchheimer equations. Numerical experiments show the scheme is reliable and competitive, especially in regimes with strong nonlinear effects.
We study the slightly compressible Darcy-Forchheimer equations modeling gas flow in porous media, particularly in applications related to combustion processes. The equations are discretized in time using the backward Euler method and in space via a mixed finite element scheme. As a result, a nonlinear algebraic system is obtained at each time step. We propose and analyze a general iterative linearization scheme for the efficient solution of such systems and study its convergence properties at the discrete level. The performance and robustness of the scheme are assessed through a series of numerical experiments. The method is compared with standard iterative solvers, and further tested on problems with discontinuous permeability fields. The results demonstrate its reliability and competitiveness in regimes characterized by strong nonlinear effects.