Numerical strategy on the grid orientation effect in the simulation for two-phase flow in porous media by using the adaptive artificial viscosity method
Xiao-Hong Wang, Meng-Chen Yue, Zhi-Feng Liu, Wei-Dong Cao, Yong Wang,, Jun Hu, Chang-Hao Xiao, Yao-Yong Li

TL;DR
This paper introduces an adaptive artificial viscosity method to mitigate the grid orientation effect in two-phase flow simulations in porous media, improving numerical stability and accuracy near displacement fronts.
Contribution
The paper proposes a novel adaptive artificial viscosity approach to effectively reduce grid orientation effects in multiphase flow simulations.
Findings
Artificial viscosity reduces spurious oscillations.
Method effectively mitigates grid orientation effects.
Applicable to practical engineering problems.
Abstract
It is a challenge to numerically solve nonlinear partial differential equations whose solution involves discontinuity. In the context of numerical simulators for multi-phase flow in porous media, there exists a long-standing issue known as Grid Orientation Effect (GOE), wherein different numerical solutions can be obtained when considering grids with different orientations under certain unfavorable conditions. Our perspective is that GOE arises due to numerical instability near displacement fronts, where spurious oscillations accompanied by sharp fronts, if not adequately suppressed, lead to GOE. To reduce or even eliminate GOE, we propose augmenting adaptive artificial viscosity when solving the saturation equation. It has been demonstrated that appropriate artificial viscosity can effectively reduce or even eliminate GOE. The proposed numerical method can be easily applied in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Differential Equations and Numerical Methods
