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Processes 2016, 4(4), 52; doi:10.3390/pr4040052

Real-Time Optimization under Uncertainty Applied to a Gas Lifted Well Network

1
Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
2
Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway
*
Author to whom correspondence should be addressed.
Academic Editor: Dominique Bonvin
Received: 21 November 2016 / Revised: 7 December 2016 / Accepted: 8 December 2016 / Published: 15 December 2016
(This article belongs to the Special Issue Real-Time Optimization)
View Full-Text   |   Download PDF [794 KB, uploaded 15 December 2016]   |  

Abstract

In this work, we consider the problem of daily production optimization in the upstream oil and gas domain. The objective is to find the optimal decision variables that utilize the production systems efficiently and maximize the revenue. Typically, mathematical models are used to find the optimal operation in such processes. However, such prediction models are subject to uncertainty that has been often overlooked, and the optimal solution based on nominal models can thus render the solution useless and may lead to infeasibility when implemented. To ensure robust feasibility, worst case optimization may be employed; however, the solution may be rather conservative. Alternatively, we propose the use of scenario-based optimization to reduce the conservativeness. The results of the nominal, worst case and scenario-based optimization are compared and discussed. View Full-Text
Keywords: real-time optimization (RTO); uncertainty; worst case optimization; scenario tree; gas lift optimization real-time optimization (RTO); uncertainty; worst case optimization; scenario tree; gas lift optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Krishnamoorthy, D.; Foss, B.; Skogestad, S. Real-Time Optimization under Uncertainty Applied to a Gas Lifted Well Network. Processes 2016, 4, 52.

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