Oil production optimization of the SOLSORT reservoir

Steen Hørsholt; Kent Johansen; Allan Peter Engsig-Karup; Hamidreza M. Nick; John Bagterp Jørgensen

doi:10.1109/ccta.2019.8920511

Oil production optimization of the SOLSORT reservoir

Steen Hørsholt, Kent Johansen, Allan Peter Engsig-Karup, Hamidreza M. Nick, John Bagterp Jørgensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

We apply optimal control to operational optimization to a model of a real oil reservoir, SOLSORT, located in the Danish North Sea. The oil reservoir model is a partial differential equation system that is simulated using a commercial oil reservoir simulator (Eclipse 300). The numerical optimization is conducted using an optimization software tool called RESOPT that is implemented in Matlab. The net present value of the reservoir model is maximized using gradient-based optimization methods. Both linear constraints on the manipulated variables and nonlinear output constraints on gas production rates are considered. We impose the nonlinear output constraints using a soft constrained penalty function. Compared to a reference case based on best practice reservoir engineering, the solution based on optimal control is able to increase the net present value by 6-13% and constrain the gas production rate.

Original language	English
Title of host publication	Proceedings of 2019 IEEE Conference on Control Technology and Applications
Number of pages	6
Publisher	IEEE
Publication date	2019
Pages	1024-1029
ISBN (Print)	9781728127668
DOIs	https://doi.org/10.1109/ccta.2019.8920511
Publication status	Published - 2019
Event	2019 IEEE Conference on Control Technology and Applications (CCTA) - City University of Hong Kong, Hong Kong, China Duration: 19 Aug 2019 → 21 Aug 2019 Conference number: 3 https://ccta2019.ieeecss.org/

Conference

Conference	2019 IEEE Conference on Control Technology and Applications (CCTA)
Number	3
Location	City University of Hong Kong
Country	China
City	Hong Kong
Period	19/08/2019 → 21/08/2019
Internet address	https://ccta2019.ieeecss.org/

Series	2019 Ieee Conference on Control Technology and Applications (ccta)

Access to Document

10.1109/ccta.2019.8920511

Cite this

Hørsholt, S., Johansen, K., Engsig-Karup, A. P., Nick, H. M., & Jørgensen, J. B. (2019). Oil production optimization of the SOLSORT reservoir. In Proceedings of 2019 IEEE Conference on Control Technology and Applications (pp. 1024-1029). IEEE. 2019 Ieee Conference on Control Technology and Applications (ccta) https://doi.org/10.1109/ccta.2019.8920511

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title = "Oil production optimization of the SOLSORT reservoir",

abstract = "We apply optimal control to operational optimization to a model of a real oil reservoir, SOLSORT, located in the Danish North Sea. The oil reservoir model is a partial differential equation system that is simulated using a commercial oil reservoir simulator (Eclipse 300). The numerical optimization is conducted using an optimization software tool called RESOPT that is implemented in Matlab. The net present value of the reservoir model is maximized using gradient-based optimization methods. Both linear constraints on the manipulated variables and nonlinear output constraints on gas production rates are considered. We impose the nonlinear output constraints using a soft constrained penalty function. Compared to a reference case based on best practice reservoir engineering, the solution based on optimal control is able to increase the net present value by 6-13% and constrain the gas production rate.",

author = "Steen H{\o}rsholt and Kent Johansen and Engsig-Karup, {Allan Peter} and Nick, {Hamidreza M.} and J{\o}rgensen, {John Bagterp}",

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Hørsholt, S, Johansen, K, Engsig-Karup, AP, Nick, HM & Jørgensen, JB 2019, Oil production optimization of the SOLSORT reservoir. in Proceedings of 2019 IEEE Conference on Control Technology and Applications. IEEE, 2019 Ieee Conference on Control Technology and Applications (ccta), pp. 1024-1029, 2019 IEEE Conference on Control Technology and Applications (CCTA), Hong Kong, China, 19/08/2019. https://doi.org/10.1109/ccta.2019.8920511

Oil production optimization of the SOLSORT reservoir. / Hørsholt, Steen; Johansen, Kent; Engsig-Karup, Allan Peter; Nick, Hamidreza M.; Jørgensen, John Bagterp.

Proceedings of 2019 IEEE Conference on Control Technology and Applications. IEEE, 2019. p. 1024-1029 (2019 Ieee Conference on Control Technology and Applications (ccta)).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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