Abstract
This paper describes the utility of developing marine system models to aid the efficient and regulatory compliant development of offshore carbon storage, maximising containment assurance by well-planned monitoring strategies. Using examples from several model systems, we show that marine models allow us to characterize the chemical perturbations arising from hypothetical release scenarios whilst concurrently quantifying the natural variability of the system with respect to the same chemical signatures. Consequently models can identify a range of potential leakage anomaly detection criteria, identifying the most sensitive discriminators applicable to a given site or season. Further, using models as in-silico testbeds we can devise the most cost-efficient deployment of sensors to maximise detection of CO2 leakage. Modelling studies can also contribute to the required risk assessments, by quantifying potential impact from hypothetical release scenarios. Finally, given this demonstrable potential we discuss the challenges to ensuring model systems are available, fit for purpose and transferable to CCS operations across the globe.
| Original language | English |
|---|---|
| Number of pages | 10 |
| Publication status | Published - 4 Apr 2019 |
| Event | 14th International Conference on Greenhouse Gas Control Technologies - Melbourne, Australia Duration: 21 Oct 2018 → 26 Oct 2018 http://www.ghgt.info/ |
Conference
| Conference | 14th International Conference on Greenhouse Gas Control Technologies |
|---|---|
| Abbreviated title | GHGT-14 |
| Country/Territory | Australia |
| City | Melbourne |
| Period | 21/10/18 → 26/10/18 |
| Internet address |
Funding
This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No.654462 (STEMM-CCS) and the Norwegian Research Council (CLIMIT project no 254711, BayMoDe).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
Keywords
- CCS
- marine
- modelling
- monitoring
- offshore
- storage
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