Multiscale projection-based embedded discrete fracture modeling approach for CO2 storage in deep saline aquifers
This study introduces a multiscale simulation framework, termed Projection-based Embedded Discrete Fracture Modeling with Algebraic Dynamic Multilevel method (pEDFM-ADM), which integrates an embedded discrete fracture network representation with a fully algebraic, front-tracking-based mesh adaptation strategy. Incorporating a fully implicit scheme, compositional thermodynamics, and algebraic multilevel operators, the framework captures essential subsurface processes such as buoyancy-driven migration, convective dissolution, phase partitioning, and fracture-matrix interactions under geologically realistic conditions. The method constructs a hierarchy of multilevel grids and localized multiscale basis functions that introduce fine-scale heterogeneities at each coarse level. Adaptive mesh refinement and coarsening are driven by local variations in CO 2 mass fraction and executed through algebraic prolongation and restriction operators, enabling efficient projection between grid levels. The framework is systematically evaluated across a sequence of test cases with increasing complexity, including systems with low-permeability flow barriers, highly conductive fractures, striking a trade-off between computational resource and detailed simulation accuracy. Overall, the pEDFM-ADM framework provides a scalable, fully algebraic, and physically adaptive modeling tool for large-scale CO 2 storage simulations in fractured porous media, supporting predictive simulation and risk assessment for long-term carbon sequestration. • A pEDFM-ADM framework is developed for CO 2 storage in fractured aquifers. • A fully implicit multiscale method is developed for compositional CO 2 storage in fractured media. • pEDFM-ADM dynamically adjusts the grid based on a CO 2 front-tracking technique. • pEDFM-ADM is scalable for large-scale geological carbon storage simulations.
Authors
- Marc Gerritsma (ORCID: https://orcid.org/0000-0003-2539-642X)
- Hadi Hajibeygi (ORCID: https://orcid.org/0000-0002-8517-8283)
- Ryan Haagenson
- Mengjie Zhao
Institutions
- Delft University of Technology (NL)
Publication Details
- Journal
- Advances in Water Resources
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1016/j.advwatres.2025.105200
- Primary Topic
- CO2 Sequestration and Geologic Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00