dc.contributor.author | Lie, Knut-Andreas | |
dc.contributor.author | Nilsen, Halvor Møll | |
dc.contributor.author | Andersen, Odd | |
dc.contributor.author | Møyner, Olav | |
dc.date.accessioned | 2017-12-20T07:43:04Z | |
dc.date.available | 2017-12-20T07:43:04Z | |
dc.date.created | 2015-04-13T12:29:36Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Computational Geosciences. 2015, 20 (3), 607-622. | nb_NO |
dc.identifier.issn | 1420-0597 | |
dc.identifier.uri | http://hdl.handle.net/11250/2473110 | |
dc.description.abstract | Large-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 increasing 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 identifying structural traps, percolation-type methods for identifying potential spill paths, and vertical-equilibrium methods that can efficiently simulate structural, residual, and solubility trapping in a thousand-year perspective. The utility of the overall workflow is demonstrated using real-life depth and thickness maps of two geological formations from the recent CO2 Storage Atlas of the Norwegian North Sea. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.title | A simulation workflow for large-scale CO2 storage in the Norwegian North Sea | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 607-622 | nb_NO |
dc.source.volume | 20 | nb_NO |
dc.source.journal | Computational Geosciences | nb_NO |
dc.source.issue | 3 | nb_NO |
dc.identifier.doi | 10.1007/s10596-015-9487-6 | |
dc.identifier.cristin | 1236825 | |
dc.relation.project | Norges forskningsråd: 199878 | nb_NO |
dc.relation.project | Norges forskningsråd: 215641 | nb_NO |
cristin.unitcode | 7401,90,11,0 | |
cristin.unitname | Anvendt matematikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |