Cristin-resultat-ID: 1158751
Sist endret: 29. mars 2016, 08:09
Resultat
Vitenskapelig artikkel
2014

The application of flow diagnostics for reservoir management

Bidragsytere:
  • Olav Møyner
  • Stein Krogstad og
  • Knut-Andreas Lie

Tidsskrift

SPE Journal
ISSN 1086-055X
e-ISSN 1930-0220
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2014
Publisert online: 2014
Trykket: 2015
Volum: 20
Hefte: 2
Sider: 306 - 323
Open Access

Importkilder

Scopus-ID: 2-s2.0-84928480770

Klassifisering

Vitenskapsdisipliner

Anvendt matematikk

Beskrivelse Beskrivelse

Tittel

The application of flow diagnostics for reservoir management

Sammendrag

Flow diagnostics, as referred to herein, are computational tools derived from controlled numerical flow experiments that yield quantitative information regarding the flow behavior of a reservoir model in settings much simpler than would be encountered in the actual field. In contrast to output from traditional reservoir simulators, flow-diagnostic measures can be obtained within seconds. The methodology can be used to evaluate, rank, and/or compare realizations or strategies, and the computational speed makes it ideal for interactive visualization output. We also consider application of flow diagnostics as proxies in optimization of reservoir-management work flows. In particular, by use of finite-volume discretizations for pressure, time of flight (TOF), and stationary tracers, we efficiently compute general Lorenz coefficients (and variants) that are shown to correlate well with simulated recovery. For efficient optimization, we develop an adjoint code for gradient computations of the considered flow-diagnostic measures. We present several numerical examples, including optimization of rates, well placements, and drilling sequences for two- and three-phase synthetic and real field models. Overall, optimizing the diagnostic measures implies substantial improvement in simulation-based objectives.

Bidragsytere

Olav Møyner

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Stein Krogstad

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS
Aktiv cristin-person

Knut-Andreas Lie

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS
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