Assuring the integrity of offshore carbon dioxide storage

Connelly, D.P.; Bull, J.M.; Flohr, A. ORCID:; Schaap, A. ORCID:; Koopmans, D.; Blackford, J.C.; White, P.R.; James, R.H.; Pearce, C. ORCID:; Lichtschlag, A. ORCID:; Achterberg, E.P.; de Beer, D.; Roche, B.; Li, J.; Saw, K.; Alendal, G.; Avlesen, H.; Brown, R.; Borisov, S.M.; Böttner, C.; Cazenave, P.W.; Chen, B.; Dale, A.W.; Dean, M.; Dewar, M.; Esposito, M.; Gros, J.; Hanz, R. ORCID:; Haeckel, M.; Hosking, B.; Huvenne, V. ORCID:; Karstens, J.; Le Bas, T. ORCID:; Leighton, T.G.; Linke, P.; Loucaides, S.; Matter, J.M.; Monk, S.; Mowlem, M.C.; Oleynik, A.; Omar, A.M.; Peel, K.; Provenzano, G.; Saleem, U.; Schmidt, M.; Schramm, B.; Sommer, S.; Strong, J. ORCID:; Falcon Suarez, I. ORCID:; Ungerboeck, B.; Widdicombe, S.; Wright, H.; Yakushev, E.. 2022 Assuring the integrity of offshore carbon dioxide storage. Renewable and Sustainable Energy Reviews, 166, 112670.

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Carbon capture and storage is a key mitigation strategy proposed for keeping the global temperature rise below 1.5 °C. Offshore storage can provide up to 13% of the global CO2 reduction required to achieve the Intergovernmental Panel on Climate Change goals. The public must be assured that potential leakages from storage reservoirs can be detected and that therefore the CO2 is safely contained. We conducted a controlled release of 675 kg CO2 within sediments at 120 m water depth, to simulate a leak and test novel detection, quantification and attribution approaches. We show that even at a very low release rate (6 kg day−1), CO2 can be detected within sediments and in the water column. Alongside detection we show the fluxes of both dissolved and gaseous CO2 can be quantified. The CO2 source was verified using natural and added tracers. The experiment demonstrates that existing technologies and techniques can detect, attribute and quantify any escape of CO2 from sub-seabed reservoirs as required for public assurance, regulatory oversight and emissions trading schemes.

Item Type: Publication - Article
Digital Object Identifier (DOI):
ISSN: 13640321
Date made live: 14 Jun 2022 21:08 +0 (UTC)

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