Summary
One of the major challenges associated with the geological storage of carbon
dioxide (CO2) is the performance of the confining system over long
time scales. In particular, the occurrence of CO2 leakage through
existing wells could not only defeat the purpose of storage, but also badly
affect human health or the environment. Indeed, cement degradation and casing
corrosion in injection, production, or abandoned wells can create preferential
channels over time, allowing the migration of CO2 from the reservoir
to shallower formations (e.g. aquifers), and/or to the surface.
In this paper, a risk-based approach is proposed for well-integrity and
confinement-performance management. The approach, based on Performance and Risk
Management methodology (P&R™), serves as a decision-support tool. The major
steps in this methodology are identifying the system and sources of degradation
through characterization and system analysis; quantifying their criticality
through modeling, in terms of probability and severity; and establishing a
risk-mitigation plan. This methodology is based on experience in material aging
and risk assessment of complex systems, such as nuclear structures where
probabilistic simulations are performed. It accounts for all stakes involved in
well-integrity management and enables the full integration of uncertainties as
part of risk estimation.
The methodology presented here greatly improves common approaches based on
"features, events, and processes" because it quantifies risk levels. It
provides useful and reliable tools to support decisions for
well-integrity-management strategies or emergency plans. To that purpose,
mitigation actions such as characterization/inspection, remediation (workover),
design improvement, or monitoring are valued on the basis of a cost/benefit
ratio. Moreover, updating the risk assessment with incoming data allows for an
evolving vision of risk levels to optimize interventions over time.
This approach has been applied successfully, leading to recommendations for
safer and more-efficient design, maintenance, and monitoring strategies.
© 2009. Society of Petroleum Engineers
View full textPDF
(
661 KB
)
History
- Original manuscript received:
21 July 2008
- Meeting paper published:
20 October 2008
- Revised manuscript received:
5 November 2008
- Manuscript approved:
13 November 2008
- Published online:
21 September 2009
- Version of record:
21 September 2009