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Closed-loop predictions in reservoir management under uncertainty

Closed-loop predictions in reservoir management under uncertainty

Category
Academic article
Abstract
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.
Language
English
Author(s)
Affiliation
  • SINTEF Digital / Mathematics and Cybernetics
  • IBM Research
  • Norwegian University of Science and Technology
Year
2017
Published in
SPE Journal
ISSN
1086-055X
Publisher
Society of Petroleum Engineers
Volume
22
Issue
5
Page(s)
1585 - 1595