Speaker
Description
Reactive transport in fracture networks plays a critical role in controlling permeability evolution and solute migration in subsurface systems, yet its efficient simulation in complex discrete fracture networks (DFNs) remains challenging. We develop an improved particle-tracking reactive transport model that extends a Lagrangian DFN framework to incorporate geochemical reactions and reaction-driven fracture aperture evolution. In this approach, particles carry evolving chemical inventories, while fracture segments are assigned mineralogical and geometric attributes. Local mineral volume changes computed from batch configurations are translated into aperture updates, enabling dynamic feedbacks among solute transport, geochemical reactions, and fracture geometry evolution. The proposed method remains the computational efficiency of particle tracking while avoiding the high cost associated with fully meshed reactive transport models. Numerical experiments on simplified gypsum fracture systems demonstrate the ability of the model to capture localized reaction effects and their consequences for both fracture-scale and network-scale transport behavior. The framework provides a flexible and computationally efficient numerical tool for investigating coupled hydro-geochemical processes in fractured media.
| Country | France |
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