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

Journal Article · · International Journal of Greenhouse Gas Control
 [1]; ORCiD logo [2];  [3];  [1]; ORCiD logo [4];  [5];  [6];  [7];  [7];  [7]
  1. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  2. National Energy Technology Laboratory (NETL), Pittsburgh, PA (United States); National Energy Technology Laboratory (NETL), Pittsburgh, PA (United States). Support Contractor
  3. National Energy Technology Laboratory (NETL), Morgantown, WV (United States); National Energy Technology Laboratory (NETL), Morgantown, WV (United States). Support Contractor
  4. Pennsylvania State University, Sate College, PA (United States)
  5. Shell Global Solutions International B.V., Amsterdam (Netherlands)
  6. National Energy Technology Laboratory (NETL), Pittsburgh, PA (United States)
  7. Shell Canada Limited, Calgary (Canada)
+ Show Author Affiliations

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.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
2274889
Report Number(s):
PNNL-SA-173910
Journal Information:
International Journal of Greenhouse Gas Control, Vol. 129; ISSN 1750-5836
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (12)

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Key factors for determining groundwater impacts due to leakage from geologic carbon sequestration reservoirs journal October 2014
An optimization approach to design monitoring schemes for CO2 leakage detection journal April 2016
Enabling site-specific well leakage risk estimation during geologic carbon sequestration using a modular deep-learning-based wellbore leakage model journal June 2023
Risk-based monitoring designs for detecting CO2 leakage through abandoned wellbores: An application of NRAP’s WLAT and DREAM tools journal December 2019
A risk-based framework for measurement, monitoring and verification of the Quest CCS Project, Alberta, Canada journal July 2014
Recent advances in risk assessment and risk management of geologic CO2 storage journal September 2015
An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment journal July 1981
Failure modes and effects analysis for CO2 transmission pipelines using a hesitant fuzzy VIKOR method journal October 2018
Managing well leakage risks at a geologic carbon storage site with many wells journal September 2019
Analytical solution for two-phase flow in a wellbore using the drift-flux model journal December 2011

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Related Subjects

58 GEOSCIENCES
risk assessment
bowtie
NRAP
CCS
GCS
carbon sequestration