Quantification of dissolved CO2 plumes at the Goldeneye CO2-release experiment

Gros, Jonas; Schmidt, Mark; Linke, Peter; Dötsch, Saskia; Triest, Jack; Martínez-Cabanas, María; Esposito, Mario; Dale, Andrew W.; Sommer, Stefan; Flohr, Anita ORCID: https://orcid.org/0000-0002-5018-5379; Fone, Joseph; Bull, Jonathan M.; Roche, Ben; Strong, James A. ORCID: https://orcid.org/0000-0001-8603-097X; Saw, Kevin; Brown, Robin; Koopmans, Dirk; Wallmann, Klaus. 2021 Quantification of dissolved CO2 plumes at the Goldeneye CO2-release experiment. International Journal of Greenhouse Gas Control, 109, 103387. https://doi.org/10.1016/j.ijggc.2021.103387

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Official URL: http://dx.doi.org/10.1016/j.ijggc.2021.103387

Abstract/Summary

According to many prognostic scenarios by the Intergovernmental Panel on Climate Change (IPCC), a scaling-up of carbon dioxide (CO2) capture and storage (CCS) by several orders-of-magnitude is necessary to meet the target of ≤2 °C global warming by 2100 relative to preindustrial levels. Since a large fraction of the predicted CO2 storage capacity lies offshore, there is a pressing need to develop field-tested methods to detect and quantify potential leaks in the marine environment. Here, we combine field measurements with numerical models to determine the flow rate of a controlled release of CO2 in a shallow marine setting at about 119 m water depth in the North Sea. In this experiment, CO2 was injected into the sediment at 3 m depth at 143 kg d-1. The new leakage monitoring tool predicts that 91 kg d-1 of CO2 escaped across the seafloor, and that 51 kg d-1 of CO2 were retained in the sediment, in agreement with independent field estimates. The new approach relies mostly on field data collected from ship-deployed technology (towed sensors, Acoustic Doppler current profiler—ADCP), which makes it a promising tool to monitor existing and upcoming offshore CO2 storage sites and to detect and quantify potential CO2 leakage.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.ijggc.2021.103387
ISSN:	17505836
Date made live:	20 Oct 2021 14:46 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/531284

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.ijggc.2021.103387

ISSN:

17505836

Date made live:

20 Oct 2021 14:46 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/531284