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 |
|---|---|
| Publication status | Published - 2018 |
| Event | 14th International Conference on Greenhouse Gas Control Technologies 2018 - Melbourne, Australia Duration: 21 Oct 2018 → 25 Oct 2018 |
Conference
| Conference | 14th International Conference on Greenhouse Gas Control Technologies 2018 |
|---|---|
| Abbreviated title | GHGT 2018 |
| Country/Territory | Australia |
| City | Melbourne |
| Period | 21/10/18 → 25/10/18 |
Keywords
- CCS
- Marine
- Modelling
- Monitoring
- Offshore
- Storage
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Management, Monitoring, Policy and Law
- Pollution
- General Energy