Speaker
Description
Fracture networks are widespread in subsurface reservoir rocks and act as primary pathways for reactive solute transport. Reactive transport processes in fracture networks show critical role in governing the efficiency of subsurface energy storage and exploitation, such as CO₂ sequestration and geothermal resource development, as well as on the long-term safety of radioactive waste disposal. In discrete fracture networks (DFNs), reaction processes are governed by the interaction between local solute residence times and fracture distribution, leading to pronounced transport heterogeneity that complicates predictive modeling. Lagrangian particle-tracking methods overlook explicit mesh discretization and provide a computationally efficient framework for simulating solute transport through complex fracture networks. However, existing particle-tracking approaches typically rely on oversimplified reaction kinetics and lack fully coupled reactive transport capabilities. To address these limitations, this study focuses on integrating information from geochemical reaction calculations obtained with PHREEQC to a particle-tracking DFN model. The main objective is to reproduce a series of laboratory experiments involving CO₂ injection into fractured granite. In addition, finite element simulations are conducted under comparable conditions to evaluate fracture networks geometry evolution and permeability changes, providing benchmark validation for the improved particle-tracking framework.
| Country | France |
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