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Cristin-resultat-ID:
904509
Sist endret:
9. februar 2012, 08:55
NVI-rapporteringsår:
2011
Resultat
Vitenskapelig artikkel
2011
Multiscale Mimetic Solvers for Efficient Streamline Simulation of Fractured Reservoirs
Jostein Roald Natvig
Bård Skaflestad
Frode Bratvedt
Kyrre Bratvedt
Knut-Andreas Lie
Vsevolod Laptev
mfl.
Tidsskrift
Tidsskrift
SPE Journal
ISSN 1086-055X
e-ISSN 1930-0220
NVI-nivå 2
Finn i kanalregisteret
Om resultatet
Om resultatet
Vitenskapelig artikkel
Publiseringsår: 2011
Volum: 16
Hefte: 4
Sider: 880 - 888
Lenker
Lenker
original online (doi)
https://doi.org/10.2118/119132-PA
Importkilder
Importkilder
Scopus-ID: 2-s2.0-84855566181
Isi-ID: 000298574600013
Beskrivelse
Beskrivelse
Engelsk
Tittel
Multiscale Mimetic Solvers for Efficient Streamline Simulation of Fractured Reservoirs
Sammendrag
Advances in reservoir characterization and modeling have given the industry improved ability to build detailed geological models of petroleum reservoirs. These models are characterized by complex shapes and structures with discontinuous material properties that span many orders of magnitude. Models that represent fractures explicitly as volumetric objects pose a particular challenge to standard simulation technology with regard to accuracy and computational efficiency. We present a new simulation approach based on streamlines in combination with a new multiscale mimetic pressure solver with improved capabilities for complex fractured reservoirs. The multiscale solver approximates the flux as a linear combination of numerically computed basis functions defined over a coarsened simulation grid consisting of collections of cells from the geological model. Here, we use a mimetic multipoint-flux approximation to compute the multiscale-basis functions. This method has limited sensitivity to grid distortions. The multiscale technology is very robust with respect to fine-scale models containing geological objects such as fractures and fracture corridors. The methodology is very flexible in the choice of the coarse grids introduced to reduce the computational cost of each pressure solve. This can have a large impact on iterative modeling workflows.
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fullstendig beskrivelse
Bidragsytere
Bidragsytere
Jostein Roald Natvig
Forfatter
ved Mathematics and Cybernetics ved SINTEF AS
Bård Skaflestad
Forfatter
ved Mathematics and Cybernetics ved SINTEF AS
Frode Bratvedt
Forfatter
ved Schlumberger Cambridge Research Centre
Kyrre Bratvedt
Forfatter
ved Schlumberger Cambridge Research Centre
Knut-Andreas Lie
Forfatter
ved Mathematics and Cybernetics ved SINTEF AS
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