Speaker
Description
Accurate and scalable simulation of geological CO₂ storage requires resolving strong heterogeneity, evolving plume fronts, and fracture matrix interactions, without making large scale models computationally prohibitive. In this work, we develop a multiscale strategy built on the Algebraic Dynamic Multilevel (ADM) method and its extension to fractured systems through projection-based embedded discrete fracture modeling (pEDFM). The framework uses fully implicit time integration together with fully compositional thermodynamics and an algebraic multilevel representation of the governing equations. It constructs a hierarchy of grid levels and localized multiscale basis functions so that fine scale heterogeneity is represented within coarse scale solves, while algebraic restriction and prolongation operators enable consistent projection between resolutions. During simulation, a front-tracking criterion driven by local variations in the overall CO₂ mass fraction refines regions near sharp composition changes and coarsens regions where the solution is smooth, focusing computational effort where it most affects accuracy. In heterogeneous porous aquifers, the approach reproduces key storage physics including buoyancy driven migration, dissolution, phase partitioning, and long-term trapping across laboratory and field scale scenarios. In fractured aquifers, integrating an embedded fracture representation within the adaptive multilevel workflow captures fracture-controlled flow features and fracture matrix exchange, and is demonstrated on increasingly complex cases such as flow barriers and highly conductive fractures. Overall, the combined methodology provides a robust and fully algebraic route for large-scale CO₂ storage simulation.
| Country | Netherlands |
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