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Published on: November 18, 2015
Generation of 3D Spatially Variable Anisotropy for Groundwater Flow Simulations
Andrea Borghi1, Philippe Renard2, Gabriel Courrioux3
1Currently at GoCAD Research Group, Laboratoire GeoRessources, 2 Rue du Doyen Marcel Roubault TSA 70605, FR-54518 Vandoeuvre-Lès-Nancy, France.
Sedimentary rocks often have directional hydraulic conductivity. This study introduces a method using geological potential gradients to model this anisotropy in folded structures, improving flow simulation accuracy.
Area of Science:
- Geosciences
- Hydrogeology
- Geological Modeling
Background:
- Sedimentary units exhibit hydraulic anisotropy, with higher conductivity along bedding planes than perpendicular to them.
- Modeling hydraulic properties in folded sedimentary structures presents significant challenges due to varying geological orientations.
Purpose of the Study:
- To develop a novel method for computing spatially varying hydraulic conductivity tensors in folded geological formations.
- To demonstrate the impact of rotating anisotropy on fluid flow simulations within complex geological structures.
Main Methods:
- Utilizing the gradient of the geological potential from implicit geological modeling techniques.
- Constructing a rotation matrix based on the potential gradient (normal to bedding) to estimate the 3D hydraulic conductivity tensor.
- Performing flow simulations on a synthetic 2D cross-section with folded sedimentary units.
Main Results:
- The proposed method successfully computes full hydraulic conductivity tensors that vary according to geological orientation.
- Flow simulations incorporating rotating anisotropy show streamlines closely following the folded formation.
- Contrastingly, isotropic models fail to accurately represent flow paths in such environments.
Conclusions:
- The gradient of geological potential is an effective tool for modeling hydraulic anisotropy in folded sedimentary structures.
- Accurate representation of rotating anisotropy is crucial for realistic fluid flow simulations in complex geological settings.
- This approach enhances the fidelity of hydrogeological models in geologically complex terrains.
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