Impact and detectability of hypothetical CCS offshore seep scenarios as an aid to storage assurance and risk assessment

Blackford, JC; Alendal, G; Avlesen, H; Brereton, A; Cazenave, PW; Chen, B; Dewar, M; Holt, J; Phelps, J. 2020 Impact and detectability of hypothetical CCS offshore seep scenarios as an aid to storage assurance and risk assessment. International Journal of Greenhouse Gas Control, 95. 102949. https://doi.org/10.1016/j.ijggc.2019.102949

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Abstract/Summary

Carbon Capture and Storage has the potential to make a significant contribution to the mitigation of climate change, however there is a regulatory and societal obligation to demonstrate storage robustness and minimal local environmental impact. This requires an understanding of environmental impact potential and detectability of a range of hypothetical leak scenarios. In the absence of a significant body of real-world release experiments this study collates the results of 86 modelled scenarios of offshore marine releases derived from five different model systems. This synthesis demonstrates a consistent generalised relationship between leak rate, detectability and impact potential of a wide range of hypothetical releases from CO2 storage, which can be described by a power law. For example a leak of the order of 1 T per day should be detectable at, at least, 60 m distance with an environmental impact restricted to less than a 15 m radius of the release point. Small releases are likely to require bottom mounted (lander) monitoring to ensure detection. In summary this work, when coupled with a quantification of leakage risk can deliver a first order environmental impact assessment as an aid to the consenting process. Further this work demonstrates that non-catastrophic release events can be detected at thresholds well below levels which would undermine storage performance or significantly impact the environment, given an appropriate monitoring strategy.

Item Type:	Publication - Article
Divisions:	Plymouth Marine Laboratory > National Capability categories > Modelling Plymouth Marine Laboratory > National Capability categories > NMOD-NC modelling Plymouth Marine Laboratory > National Capability categories > Single Centre NC - CLASS Plymouth Marine Laboratory > Science Areas > Marine Ecosystem Models and Predictions
Depositing User:	S Hawkins
Date made live:	11 Mar 2020 11:48
Last Modified:	25 Apr 2020 10:02
URI:	https://plymsea.ac.uk/id/eprint/8877

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