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Article Dans Une Revue Greenhouse Gases: Science and Technology Année : 2015

Quantitative risk assessment in the early stages of a CO2 geological storage project: implementation of a practical approach in an uncertain context

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Résumé

Methodologies for quantitative risk assessment regarding CO2 storage operations are currently scarce mostly because of the lack of experience in this field and the relatively significant uncertainty degree regarding the subsurface intrinsic properties and the processes occurring after the injection starts. This paper presents a practical approach designed to perform a quantitative risk assessment in an uncertain context. Our approach is illustrated on a realistic case study (Paris basin, France), conceived to be representative of the level of information available in the early stages of a project. It follows the risk assessment principles from the international standard (ISO 31000:2009), which are adapted to account for the specificities and challenges of subsurface operations. After the establishment of the context of the specific case study, the main risks were identified and we analysed two different risk scenarios (risk of brine leakage from an abandoned well, risk of subsurface use conflict). These scenarios were selected to give a comprehensive overview of different types of analysis in terms of available data, modelling tools and uncertainty management methodologies. The main benefit of this paper is to propose an approach, based on existing risk assessment standards, best practices and analysis tools, which allows an objective quantitative risk analysis taking into account the uncertainties, and therefore enables a fully informed decision-making while evaluating risk acceptability.
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Dates et versions

hal-01118607 , version 1 (19-02-2015)

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Louis de Lary de Latour, Jean-Charles Manceau, Annick Loschetter, Jeremy Rohmer, Olivier Bouc, et al.. Quantitative risk assessment in the early stages of a CO2 geological storage project: implementation of a practical approach in an uncertain context. Greenhouse Gases: Science and Technology, 2015, 5 (1), pp.50-63. ⟨10.1002/ghg.1447⟩. ⟨hal-01118607⟩

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