Cristin-resultat-ID: 1526234
Sist endret: 14. desember 2017 08:04
NVI-rapporteringsår: 2017
Vitenskapelig artikkel

Closed-loop predictions in reservoir management under uncertainty

  • Kristian Gaustad Hanssen
  • Andrés Codas og
  • Bjarne Anton Foss


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

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2017
Volum: 22
Hefte: 5
Sider: 1585 - 1595
Open Access


Scopus-ID: 2-s2.0-85032187609

Beskrivelse Beskrivelse


Closed-loop predictions in reservoir management under uncertainty


Uncertainty is a major challenge in reservoir management. To take the uncertainty into consideration, optimization can be carried out over a set of scenarios. Most approaches on reservoir management under uncertainty optimize a sequence of control inputs applied to all scenarios over the prediction horizon; hence, they are open-loop predictions. In this paper, we optimize over control policies, as opposed to a sequence of control inputs, to obtain closed-loop predictions. The policies are specified as a set of implicit algebraic equations, allowing for efficient gradient calculation by an adjoint simulation. The method is compared with the more traditional open-loop approach in a case study, indicating a significant potential for reservoir optimization by use of closed-loop predictions.


Kristian Gaustad Hanssen

  • Tilknyttet:
    ved Mathematics and Cybernetics ved SINTEF AS

Andrés Codas

  • Tilknyttet:
    ved IBM Research

Bjarne Anton Foss

  • Tilknyttet:
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
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