Journal article
Oil Production Optimization of Black-Oil Models by Integration of Matlab and Eclipse E300
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Center for Energy Resources Engineering, Centers, Technical University of Denmark3
Centre for oil and gas – DTU, Technical University of Denmark4
In this paper, we present a software tool for oil production optimization. The software combines the simulation power of a commercial black-oil reservoir simulator with adjoint-gradient capability (Eclipse E300) and state-of-the-art software for constrained optimization (Matlab). The software enables deterministic and ensemble-based optimization strategies for black-oil reservoir flow models and compositional reservoir flow models.
The software implements a number of ensemble-based optimization strategies such as the robust optimization, the mean-variance optimization, and the conditional value at risk optimization. Consequently, the software constitutes a powerful tool to assist and guide decision making in the real-life reservoir management process.
In this paper, we present the workflow and numerical results for mean-variance optimization of a synthetic 2-dimensional black-oil reservoir using water flooding.
Language: | English |
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Year: | 2018 |
Pages: | 88-93 |
ISSN: | 24058963 and 14746670 |
Types: | Journal article |
DOI: | 10.1016/j.ifacol.2018.06.360 |
ORCIDs: | Hørsholt, Steen , Nick, Hamid and Jørgensen, John Bagterp |