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dc.contributor.authorLie, Knut-Andreas
dc.contributor.authorNilsen, Halvor Møll
dc.contributor.authorAndersen, Odd
dc.contributor.authorMøyner, Olav
dc.date.accessioned2017-01-25T14:34:27Z
dc.date.available2017-01-25T14:34:27Z
dc.date.issued2016-06
dc.identifier.issn1420-0597en_US
dc.identifier.urihttps://hdl.handle.net/1956/15482
dc.description.abstractLarge-scale CO2 injection problems have revived the interest in simple models, like percolation and vertically-averaged models, for simulating fluid flow in reservoirs and aquifers. A series of such models have been collected and implemented together with standard reservoir simulation capabilities in a high-level scripting language as part of the open-source MATLAB Reservoir Simulation Toolbox (MRST) to give a set of simulation methods of increas- ing computational complexity. Herein, we outline the methods and discuss how they can be combined to create a flexible tool-chain for investigating CO2 storage on a scale that would have significant impact on European CO2 emissions. In particular, we discuss geometrical methods for identify- ing structural traps, percolation-type methods for identifying potential spill paths, and vertical-equilibrium methods that can effciently simulate struc- tural, residual, and solubility trapping in a thousand-year perspective. The utility of the overall workflow is demonstrated using real-life depth and thick- ness maps of two geological formations from the recent CO2 Storage Atlas of the Norwegian North Sea.en_US
dc.language.isoengeng
dc.publisherSpringeren_US
dc.relation.ispartof<a href="http://hdl.handle.net/1956/15477" target="blank">Simplified models for numerical simulation of geological CO2 storage</a>en_US
dc.subjectvertical equilibrium simulationseng
dc.subjectspill-point analysiseng
dc.subjectlong-term migrationeng
dc.subjectstorage capacityeng
dc.subjectbasin-scale injectioneng
dc.titleA simulation workflow for large-scale CO2 storage in the Norwegian North Seaen_US
dc.typeJournal article
dc.description.versionsubmittedVersionen_US
dc.rights.holderCopyright Springer International Publishing Switzerland 2015en_US
dc.identifier.doihttps://doi.org/10.1007/s10596-015-9487-6
dc.identifier.cristin1236825
dc.source.journalComputational Geosciences
dc.source.4020
dc.source.143
dc.source.pagenumber607-622


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