Abstract
Open dipping aquifers might offer a unique possibility to store huge quantities of carbon dioxide. Many different modelling approaches have been used to quantify possible storage capacities often giving very diverse results. In this study, we applied three different methods to calculate and model theoretical volumes, structural trapping volumes using a basin modelling tool and capacities obtained from dynamic reservoir simulations. We tested end-member scenarios for different critical parameters. The results for two stratigraphic confined open/semi-closed dipping saline aquifers, the Garn Formation (Norwegian Sea, Norway) and the Faludden sandstone (Baltic Sea, Sweden) show broad variations. For the Garn Formation CO2 storage capacities vary from 2.0 to 8.4 Gt. Taking into accounts all results, we estimated a representative storage capacity ranging between 2.0 and 3.5 Gt. In the case of the Faludden sandstone the different modelled scenarios give a spread from 10 to 836 Mt and a representative capacity of 250–435 Mt was defined. We will show and discuss how the different estimates are calculated, how they are related to each other and finally exclude unreliable results. Furthermore we compare our results with published data from the same areas. This will demonstrate the complexity and difficulty of a direct comparison of geological CO2 storage estimates and pinpoint to the need for a general strategy to compare modelling results for geological CO2 storage estimates.
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Acknowledgments
The work has been supported by the NORDICCS Centre, as part of the Nordic Innovation and Top-level Research Initiative CO2 Capture and Storage Program (Project number: 11029). Statoil is thanked for providing the data from the Trøndelag Platform.
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Lothe, A.E., Bergmo, P.E.S., Emmel, B.U., Mortensen, G.M. (2016). CO2 Storage Capacity Estimates for a Norwegian and a Swedish Aquifer Using Different Approaches – From Theoretical Volumes, Basin Modelling to Reservoir Models. In: Vishal, V., Singh, T. (eds) Geologic Carbon Sequestration. Springer, Cham. https://doi.org/10.1007/978-3-319-27019-7_6
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DOI: https://doi.org/10.1007/978-3-319-27019-7_6
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