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Automatic Generation of Locally Refined Composite Grids for Efficient Solute Transport Modeling.
1Water and Environment Division (D3E), Water Management Group, Orléans Cedex 2, France.
Ground Water
|March 21, 2019
Summary
This study introduces a new algorithm for efficient solute transport modeling in groundwater. The method optimizes local grid refinement, improving simulation speed and accuracy for subsurface aquifer studies.
Area of Science:
- Environmental Science
- Geosciences
- Computational Science
Background:
- Current numerical models for subsurface solute transport use structured grids, limiting efficiency and accuracy.
- Optimizing local grid refinement for efficient solute transport simulations is a significant challenge.
Purpose of the Study:
- To present a novel and easily implementable algorithm for selective local grid refinement in solute transport modeling.
- To enhance the efficiency and accuracy of numerical simulations in subsurface aquifers.
Main Methods:
- A four-step algorithm involving travel time simulations, grid coarsening, selective local grid refinement using a cell-wise indicator, and postprocessing.
- A refinement index based on weighted logarithmic distributions of scaled forward and backward travel times.
- Flow-based upscaling to calculate properties at different grid scales.
Main Results:
- The algorithm significantly speeds up simulations, particularly with higher indicator thresholds.
- Increased hydrodynamic dispersion leads to less pronounced speedups.
- Grid design effectiveness is dependent on the flow and solute transport processes.
Conclusions:
- The developed algorithm offers a more efficient and accurate approach to solute transport modeling in subsurface aquifers.
- Integrating this grid generation algorithm into workflows can lead to comprehensive and efficient groundwater models.
- Grid design should be tailored to specific flow and transport characteristics for optimal performance.
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