19–22 May 2026
Europe/Paris timezone

CO₂ Migration and Trapping in Deep-Marine Fan Systems

21 May 2026, 09:05
15m
Oral Presentation (MS01) Porous Media for a Green World: Energy & Climate MS01

Speaker

Trine Solberg Mykkeltvedt (NORCE Research AS)

Description

Deep-marine basin floor systems are promising candidates for geological CO₂ storage due to their large capacity and complex stratigraphy. On the Norwegian Continental Shelf, several exploration licenses for CO₂ storage target such systems, including complex fan systems serving as a key stratigraphic trap. These systems consist of layers of sand deposited by underwater channels and lobes that shifted over time; one example of this is the Frigg-Heimdal reservoir system in the North Sea. Uncertainty in sedimentary architecture, facies distribution, and connectivity poses challenges for predicting plume migration and trapping efficiency, as well as in understanding how depositional heterogeneity influences CO₂ migration and trapping.

To address these uncertainties, we employ high-fidelity reservoir simulations using an analogue model derived from the Karoo outcrop. This approach enables systematic investigation of how depositional heterogeneity influences CO₂ migration and trapping. We define scalable concepts to describe migration patterns and trapping efficiency and evaluate simplified modeling approaches.

Our analysis demonstrates the important impact of depositional heterogeneity in CO₂ storage performance. Variations in facies properties and capillary behavior influence plume migration, and the results highlight the relevance of fine-scale heterogeneity for predicting migration patterns in complex fan systems. Through systematic evaluation of different configurations and parameter sensitivities, we identify relationships that can inform simplified modeling approaches and accelerate simulation workflows.

This work provides insights into heterogeneity controls on CO₂ storage and establishes concepts that support scalable modeling strategies for complex geological settings. The findings contribute to improved uncertainty management and the development of robust workflows for predicting storage security in deep-marine depositional systems.

Country Norway
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Author

Trine Solberg Mykkeltvedt (NORCE Research AS)

Co-authors

Odd Andersen (SINTEF Digital) Anna Pontén (Equinor) Sarah Eileen Gasda (NORCE Research AS)

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