The Prediction of Impact and Anomaly Criteria for Leakage Detection From Offshore Carbon Storage Sites Through a Comprehensive Coupled Network of Hydrodynamic and Biogeochemical Models

6 Pages Posted: 29 Mar 2021

See all articles by Marius Dewar

Marius Dewar

Plymouth Marine Laboratory; Heriot-Watt University - School of Engineering and Physical Sciences

Jerry Blackford

Plymouth Marine Laboratory

Baixin Chen

Heriot-Watt University

Date Written: March 17, 2021

Abstract

This investigation describes prediction of environmental impacts arising from potential seepage or leakage from under seabed carbon storage sites through a complex multi-phase, multi-scale modelling system in coastal waters. Monitoring is required for assurance, detection and mitigation. However, it is crucial to develop simulation models that can replicate observed behaviours and can be extrapolated to many different scenarios. It is shown that a coupled modelling system based on laboratory scale and in-situ experiments, along with knowledge of natural variability, can be used to quantify impact potential and derive highly sensitive indicators of anomalies which might arise from leakage in order to facilitate detection and assurance. The local effects are shown to be affected greatly by the water currents; with momentary spikes in pCO2 and pH caused by tidal oscillation. Model outcomes feed into further studies allowing the development of systems to optimize detection criteria and monitoring strategies, providing effective methodologies for quantification of CO2 fluxes across the seabed and dispersion in the water column, informing the temporal and spatial scales required for effective chemical monitoring.

Keywords: Storage, CCS, FVCOM, leakage, monitoring, marine, climate change, bubbles, multi-phase, CO2

Suggested Citation

Dewar, Marius and Blackford, Jerry and Chen, Baixin, The Prediction of Impact and Anomaly Criteria for Leakage Detection From Offshore Carbon Storage Sites Through a Comprehensive Coupled Network of Hydrodynamic and Biogeochemical Models (March 17, 2021). Proceedings of the 15th Greenhouse Gas Control Technologies Conference 15-18 March 2021, Available at SSRN: https://ssrn.com/abstract=3813189 or http://dx.doi.org/10.2139/ssrn.3813189

Marius Dewar (Contact Author)

Plymouth Marine Laboratory ( email )

Prospect Place
The Hoe
Plymouth, PL1 3DH
United Kingdom

Heriot-Watt University - School of Engineering and Physical Sciences ( email )

Edinburgh, EH14 4AS
United Kingdom

Jerry Blackford

Plymouth Marine Laboratory ( email )

Prospect Place
The Hoe
Plymouth, PL1 3DH
United Kingdom

Baixin Chen

Heriot-Watt University

Riccarton
Edinburgh EH14 4AS, Scotland EH14 1AS
United Kingdom

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