Conference paper
Oil production optimization of the SOLSORT reservoir
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Department of Chemical and Biochemical Engineering, Technical University of Denmark3
INEOS Group4
Centre for oil and gas – DTU, Technical University of Denmark5
Center for Energy Resources Engineering, Centers, Technical University of Denmark6
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2019 |
| Pages: | 1024-1029 |
| Proceedings: | 2019 IEEE Conference on Control Technology and Applications |
| ISBN: | 1728127661 , 172812767X , 172812767x , 1728127688 , 9781728127668 , 9781728127675 and 9781728127682 |
| Types: | Conference paper |
| DOI: | 10.1109/ccta.2019.8920511 |
| ORCIDs: | Hørsholt, Steen , Engsig-Karup, Allan Peter , Nick, Hamidreza M. and Jørgensen, John Bagterp |
