A two-level strategy to realize life-cycle production optimization in an operational setting

G.M. Essen, van, P.M.J. Hof, Van den, J.D. Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

We present a two-level strategy to improve robustness against uncertainty and model errors in life-cycle flooding optimization. At the upper level, a physics-based large-scale reservoir model is used to determine optimal life-cycle injection and production profiles. At the lower level these profiles are considered as set points (reference values) for a tracking control algorithm, also known as a model predictive controller (MPC), to optimize the production variables over a short moving horizon based on a simple data-driven model. We used a conventional reservoir simulator with gradient-based optimization functionality to perform the life-cycle optimization. Next, we applied this optimal strategy to a set of reservoir models with markedly different geological characteristics. We compared the performance (oil recovery) of these models when applying the life-cycle strategy with and without the corrections provided by the data-driven algorithm and the tracking controller. In this theoretical study we observed that the use of the lower-level controller enabled successful tracking of the reference values provided by the upper-level optimizer. In our example, a performance drop of 6.4 % in net present value, caused by differences between the reservoir model used for life-cycle optimization and the (synthetic) true reservoir, was successfully reduced to only 0.5% when applying the two-level strategy. Several studies have demonstrated that model-based life-cycle production optimization has a large scope to improve long-term economic performance of water flooding projects. However, because of uncertainties in geology, economics and operational decisions, such life-cycle strategies cannot simply be applied in reality. Our two-level approach offers a solution to realize the theoretical potential of life-cycle optimization in a more operational setting. Introduction
Original languageEnglish
Title of host publicationProceedings of the SPE Intelligent Energy International Conference, 27-29 March 2012, Utrecht, The Netherlands
PublisherSPE
PagesSPE149736-1/11
ISBN (Print)978-1-61399-191-6
Publication statusPublished - 2012
Eventconference; SPE Intelligent Energy Internation Conference; 2012-03-27; 2012-03-29 -
Duration: 27 Mar 201229 Mar 2012

Conference

Conferenceconference; SPE Intelligent Energy Internation Conference; 2012-03-27; 2012-03-29
Period27/03/1229/03/12
OtherSPE Intelligent Energy Internation Conference

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  • Cite this

    Essen, van, G. M., Hof, Van den, P. M. J., & Jansen, J. D. (2012). A two-level strategy to realize life-cycle production optimization in an operational setting. In Proceedings of the SPE Intelligent Energy International Conference, 27-29 March 2012, Utrecht, The Netherlands (pp. SPE149736-1/11). SPE.