dc.contributor.author | Lie, Knut-Andreas | |
dc.contributor.author | Mykkeltvedt, Trine Solberg | |
dc.contributor.author | Møyner, Olav | |
dc.date.accessioned | 2019-09-23T07:24:20Z | |
dc.date.available | 2019-09-23T07:24:20Z | |
dc.date.created | 2019-05-04T12:23:52Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Computational Geosciences. 2019, 1-19. | nb_NO |
dc.identifier.issn | 1420-0597 | |
dc.identifier.uri | http://hdl.handle.net/11250/2618138 | |
dc.description.abstract | Many authors have used higher-order spatial discretizations to reduce numerical diffusion, which can be particularly pronounced when simulating EOR processes involving active chemical substances that are transported by linear or weakly nonlinear waves. Most high-resolution methods reported in the literature are based on explicit temporal discretizations. This imposes severe time-step restrictions when applied to the type of grids seen in industry-standard simulation models of real assets, which usually have orders-of-magnitude variations in porosities and Darcy velocities that necessitate the use of implicit discretization. Herein, we propose a second-order WENO discretization suitable for complex grids with polyhedral cell geometries, unstructured topologies, large aspect ratios, and large variations in interface areas. The WENO scheme is developed as part of a standard, fully implicit formulation that solves for pressure and transported quantities simultaneously. We investigate the accuracy and utility of the WENO scheme for a series of test cases that involve corner-point and 2D/3D Voronoi grids and black-oil and compositional flow models. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.subject | Reservoarmodellering | nb_NO |
dc.subject | Reservoir modelling | nb_NO |
dc.title | A fully implicit WENO scheme on stratigraphic and unstructured polyhedral grids | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.subject.nsi | VDP::Anvendt matematikk: 413 | nb_NO |
dc.subject.nsi | VDP::Applied mathematics: 413 | nb_NO |
dc.source.pagenumber | 1-19 | nb_NO |
dc.source.journal | Computational Geosciences | nb_NO |
dc.identifier.doi | 10.1007/s10596-019-9829-x | |
dc.identifier.cristin | 1695585 | |
dc.relation.project | Norges forskningsråd: 244361 | nb_NO |
dc.relation.project | VISTA: 6366 | nb_NO |
dc.relation.project | Norges forskningsråd: 230303 | nb_NO |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,15,0 | |
cristin.unitname | Institutt for matematiske fag | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |