| Issue |
E3S Web Conf.
Volume 704, 2026
2nd International Conference on Sciences and Techniques for Renewable Energy and the Environment (STR2E 2026)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 15 | |
| DOI | https://doi.org/10.1051/e3sconf/202670401006 | |
| Published online | 10 April 2026 | |
A novel heterogeneity driven adaptive IMPES scheme for robust simulation of immiscible pollutant transport in complex aquifers for environmental protection
Laboratory of Applied Sciences, ENSAH Al Hoceima, Abdelmalek Essaâdi University, Morocco
Abstract
Numerical simulation of nonlinear properties in multiphase fluids within highly heterogeneous porous media remains a significant computational challenge. Traditional Implicit Pressure Explicit Saturation (IMPES) methods are typically hampered by strict stability constraints when dealing with high permeability contrasts, often resulting in inaccurate outcomes or prohibitive simulation times. To address these issues, a new adaptive IMPES strategy is developed, utilizing local heterogeneity to drive the stability level. The physical model, based on mass conservation and Darcy’s law, is implemented using the Cell-Centered Finite Volume Method (FVM) in a coupled framework. Numerical examples confirm that the proposed method reduces computational time by 40% while maintaining superior stability compared to existing techniques. The global mass balance error is strictly maintained below 10–6 , and the scheme effectively handles permeability variations up to 103 mD. This paper establishes a robust foundation for accurately modeling contaminant transport in complex geological formations, directly supporting sustainable groundwater management and environmental risk assessment.
Key words: Multiphase flow / Porous media / IMPES scheme / Adaptive numerical modeling / Environmental protection / Groundwater management / Pollutant transport
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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