Detecting and mapping a CO2 plume with novel autonomous pH sensors on an underwater vehicle

Monk, Samuel A.; Schaap, Allison ORCID: https://orcid.org/0000-0001-5391-0516; Hanz, Rudolf ORCID: https://orcid.org/0000-0003-2123-1599; Borisov, Sergey M.; Loucaides, Socratis; Arundell, Martin; Papadimitriou, Stathys; Walk, John; Tong, Daisy; Wyatt, James; Mowlem, Matthew. 2021 Detecting and mapping a CO2 plume with novel autonomous pH sensors on an underwater vehicle. International Journal of Greenhouse Gas Control, 112, 103477. 10.1016/j.ijggc.2021.103477

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Official URL: http://dx.doi.org/10.1016/j.ijggc.2021.103477

Abstract/Summary

We report the first successful use of chemical sensors integrated on to an underwater vehicle to locate, map and estimate flux from a controlled sub-seabed CO2 release, analogous to a leak from a Carbon Capture and Storage (CCS) reservoir. This has global implications for the efficacy and cost of monitoring of offshore CCS sites and hence public and regulatory confidence as this tool for addressing climate change is considered and rolled out. A remotely operated vehicle (ROV) equipped with three different pH sensors was deployed to determine the spatial extent of the controlled release. The sensors each operated on a different principle (spectrophotometric, fluorescence, and electrochemical) and the strengths and weaknesses of each sensor are discussed. The sensor data demonstrated that evidence of the plume was limited to within 3 m of the seafloor, as predicted by previous modelling work. The data were then utilised to develop a model of the plume, to extend the spatial coverage of the data. This comparison of the three sensors and the insight into plume dynamics provided by the model would assist in the planning of future plume surveys to ensure the sensor and vehicle combination can resolve the plume of interest.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.ijggc.2021.103477
ISSN:	17505836
Date made live:	04 Nov 2021 22:17 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/531350

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.ijggc.2021.103477

ISSN:

17505836

Date made live:

04 Nov 2021 22:17 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/531350