Multiscale Stratigraphic Reservoir Characterization for Flow and Storage of CO2: Roadmap for Modelling and Quantitative Understanding

G. Hampson, A. Martinius, M. Jackson, S. Krevor, J. Storms, D. Voskov, H. Hajibeygi, S. Geiger

Research output: Contribution to conferencePaperpeer-review

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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.
Original languageEnglish
Number of pages5
DOIs
Publication statusPublished - 2023
Event84th EAGE ANNUAL Conference and Exhibition 2023 - Vienna, Austria
Duration: 5 Jun 20238 Jun 2023
Conference number: 84

Conference

Conference84th EAGE ANNUAL Conference and Exhibition 2023
Abbreviated titleEAGE 2023
Country/TerritoryAustria
CityVienna
Period5/06/238/06/23

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