Abstract
This article presents an accurate porosity-velocity-concentration approach, in which porosity, pore-fluid velocity and the concentration of dissolvable substances in the pore fluid are selected as four primary unknown variables for solving reactive mass transport problems involving chemical dissolution in fluid-saturated porous media with arbitrarily initial porosity distributions. The first advantage of using the proposed approach is that since pore-fluid velocity, instead of pore-fluid pressure, is selected as the primary unknown variable to describe the pore-fluid flow process, the pore-fluid velocity obtained from the proposed approach is more accurate than that obtained from the numerical simulation, in which pore-fluid pressure is selected as the primary unknown variable to describe the pore-fluid flow. The second advantage of using the proposed approach is that because the property matrices of a four-node rectangular element are precisely calculated in a purely mathematical way, the overall accuracy of numerical solutions can be ensured. After the proposed approach is verified by a benchmark problem, it has been applied for solving reactive mass transport problems involving chemical dissolution in fluid-saturated porous media with three different kinds of initial porosity distributions. It has been demonstrated that: (1) the proposed approach can produce highly-accurate numerical solutions for solving reactive mass transport problems involving chemical dissolution in fluid-saturated porous media with arbitrarily initial porosity distributions; (2) the initial porosity distribution in a porous medium can have remarkable effects on the reactive mass transport process in the porous medium; (3) the porosity and dimensionless concentration fronts propagate from the entrance to the exit of the problem domain, which is identical to the pore-fluid flow direction.
| Original language | English |
|---|---|
| Pages (from-to) | 7354-7377 |
| Number of pages | 24 |
| Journal | International Journal for Numerical Methods in Engineering |
| Volume | 122 |
| Issue number | 24 |
| Early online date | 20 Sept 2021 |
| DOIs | |
| Publication status | Published - 30 Dec 2021 |
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