One of the major challenges associated with CO2 geological storage is the performance of the confining system over long timescales. 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 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&RTM), serves as a decision support tool. The major steps are (i) identifying the system and the sources of degradation through characterization and system analysis; (ii) quantifying their criticity through modeling, in terms of probability and severity, and (iii) establishing a risk mitigation plan. This methodology is based on experience in material aging and risk assessment of complex systems, like 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" as 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 based on a cost/benefits ratio. Moreover, updating risk assessment with incoming data allows for an evolving vision of risk levels to optimize interventions in time. This approach is successfully applied, leading to recommendations for safer and more efficient design, maintenance, and monitoring strategies.
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.
Today, more and more French communities have a critical point of view concerning the performance of their wastewater sewerage systems. The main reason is linked to the methodology of the studies in the design phase. The process is neither adapted to the complexity of the decision-making task, nor to a general management of the wastewater sewerage in a territory. In order to make these studies more coherent and the choices more rational, we propose a new formulation of the methodology as an alternative to the current one. Our approach relies on decision-making support which borrows concepts from expert systems and multicriteria analysis in order to structure the reasoning process and to take into account the very different criteria a real decision-making task often implies. We show that this support has to be interactive and iterative in order to ensure that coherent and relevant solutions are chosen.
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