Multiscale Stratigraphic Reservoir Characterization for Flow and Storage of CO2
Roadmap for Modelling and Quantitative Understanding
Gary J. Hampson (Imperial College London)
A. W. Martinius (TU Delft - Applied Geology)
Matthew D. Jackson (Imperial College London)
Samuel Krevor (Imperial College London)
Joep Elisabeth Anton Storms (TU Delft - Applied Geology)
D.V. Voskov (TU Delft - Reservoir Engineering)
H Hajibeygi (TU Delft - Reservoir Engineering)
Sebastian Geiger (TU Delft - Applied Geology)
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Abstract
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.