This poster outlines a hierarchical, multiscale modelling approach that is adapted from proven hydrocarbon reservoir characterization workflows to determine which 3D sedimentological and stratigraphic heterogeneity types at which temporal and spatial scales and in which configurations are most important for successful long-term CO2 storage. The approach is particularly in saline aquifers that are data-poor but have the potential to store large CO2 volumes. It uses the Representative Element Volume (REV) concept and associated upscaling methodology to characterise sedimentological heterogeneity types, and it leverages novel modelling tools that facilitate rapid model construction and prototyping, geometrically accurate representation of key geological heterogeneities in models, and computationally efficient simulation of all CO2 trapping mechanisms over relevant spatial and temporal scales.
|Number of pages
|Published - 2023
|84th EAGE ANNUAL Conference and Exhibition 2023 - Vienna, Austria
Duration: 5 Jun 2023 → 8 Jun 2023
Conference number: 84
|84th EAGE ANNUAL Conference and Exhibition 2023
|5/06/23 → 8/06/23