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dc.contributor.authorAllen, Rebecca
dc.contributor.authorNilsen, Halvor Møll
dc.contributor.authorAndersen, Odd
dc.contributor.authorLie, Knut-Andreas
dc.identifier.citationInternational Journal of Greenhouse Gas Control. 2017, 65 182-194.nb_NO
dc.description.abstractThe process of selecting a CO2 storage site involves evaluating many potentially suitable sites in terms of their storage potentials as well as their associated technical and economic limitations. As such, it is useful to apply a ranking scheme that makes use of several different criteria and weights each criterion based on its relative importance in the overall evaluation. In this study, we demonstrate one such possible ranking workflow using real formation datasets from CO2 Storage Atlas of the Norwegian Continental Shelf. The workflow involves computing practical storage potentials using a generic well placement scheme, mathematical optimization and vertical-equilibrium modeling, and is general in the sense that it can be applied to other formation datasets. Economic factors related to the transportation and injection of CO2 are represented by the number of injection wells required, depth of injection, and distance from a CO2 point source. The purpose of this study is not to provide formation-specific capacity estimates or efficiency factors for engineering purposes, due to the simplifying assumptions used in this work, and the fact that our specific datasets come with their own limitations (i.e., homogeneous rock properties, lack of fault data). Rather, the purpose is to demonstrate a general ranking scheme that reflects operational limitations and the economic factors likely to be involved in any commercial or demonstration CCUS project.nb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleRanking and categorizing large-scale saline aquifer formations based on optimized CO2 storage potentials and economic factorsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalInternational Journal of Greenhouse Gas Controlnb_NO
dc.relation.projectNorges forskningsråd: 243729nb_NO
cristin.unitnameAnvendt matematikk

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal