Print Email Facebook Twitter Quantitative assessment of monitoring strategies for conformance verification of CO2 storage projects Title Quantitative assessment of monitoring strategies for conformance verification of CO2 storage projects Author Barros, E.G.D. Leeuwenburgh, O. Szklarz, S.P. Publication year 2021 Abstract We propose a quantitative model-based workflow for conformance verification of CO2 storage projects. Bayesian inference is applied to update an ensemble of simulation models that capture prior uncertainty based on mis matches with measured data. Conformance assessments are derived by comparison of updated model predictions with storage permit requirements and confidence criteria. Two examples, one conceptual and one based on a real candidate storage site, are provided in which the quantitative workflow is applied to the a priori assessment of candidate monitoring strategies. The examples illustrate the limitations of pressure monitoring in the presence of realistic subsurface uncertainties, and the potential for cost saving by informed design of geophysical monitoring surveys. Approximate methods are discussed that could make the workflow also applicable for (quasi) real-time conformance monitoring. Subject Conformance verificationMonitoring designQuantitative workflowRisk managementSubsurface CO2 storageUncertainty managementGeological Survey Netherlands2015 Energy To reference this document use: http://resolver.tudelft.nl/uuid:c42ae8e7-075c-4513-85cb-40c8fa7cd857 DOI https://doi.org/10.1016/j.ijggc.2021.103403 TNO identifier 967766 Publisher Elsevier Ltd ISSN 1750-5836 Source International Journal of Greenhouse Gas Control, 110 (110), 1-18 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.