Details

Autor(en) / Beteiligte

• Brown, Christopher F.
• Lackey, Greg
• Mitchell, Nate
• Baek, Seunghwan
• Schwartz, Brandon
• Dean, Marcella
• Dilmore, Robert
• Blanke, Hein
• O'Brien, Simon
• Rowe, Carrie

Titel

Integrating risk assessment methods for carbon storage: A case study for the quest carbon capture and storage facility

Ist Teil von

• International journal of greenhouse gas control, 2023-10, Vol.129, p.103972, Article 103972

Ort / Verlag

United States: Elsevier Ltd

Erscheinungsjahr

2023

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• •Fist application of NRAP-Open-IAM to a Bowtie RA.•Integration of qualitative and quantitative risk management approaches can improve risk quantification.•NRAP-Open-IAM can be used to determine a risk-based AoR for commercial-scale GCS sites.•Results from NRAP-Open-IAM simulations supported an 80% reduction to the approved AoR footprint. This paper documents how tools developed by the National Risk Assessment Partnership (NRAP) complement the Bowtie risk assessment approach through the demonstration of a risk-based Area of Review (AoR) determination for the Quest Carbon Capture and Storage (CCS) facility near Edmonton, Alberta with the NRAP Open-Source Integrated Assessment Model (NRAP Open-IAM). The Bowtie risk assessment for the Quest CCS site was developed by Shell Canada Ltd., who operates the asset on behalf of the Athabasca Oil Sand Project — a joint venture, owned by Canadian Natural Resources Ltd, Chevron Canada and Shell Canada Ltd. The Quest Bowtie treats site risk comprehensively – considering a large set of technical and project risks (e.g., operational risks, above ground infrastructure, public perception, etc.). NRAP tools, methods, and analyses are focused on quantitative assessment of subsurface technical risks. NRAP-Open-IAM was used to evaluate potential groundwater impacts at the Quest site, i.e., a sufficient change above background groundwater quality levels to be measurable, should CO2 and/or brine leak from the reservoir via a faulty and/or compromised wellbore. Our results show there is a low potential for groundwater impact and support a further reduction (from ∼460 to 100 km2) to the established AoR for the Quest site. Integrating both approaches early in the site characterization period could significantly benefit commercial-scale projects by drastically reducing the region over which leakage risks (e.g., legacy wells) need to be evaluated, i.e., the AoR. This is especially true for brownfield sites, which could contain hundreds to thousands of legacy wells. Further, basing monitoring network design on those regions where impacts are most likely to occur has the potential to facilitate more efficient deployment of monitoring technologies and improve the likelihood of detecting a leak should one occur.