Oil Production Optimization of Black-Oil Models by Integration of Matlab and Eclipse E300

Publication: Research - peer-reviewJournal article – Annual report year: 2018

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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.
Original languageEnglish
JournalIFAC-PapersOnLine
Volume51
Issue number8
Pages (from-to)88-93
ISSN2405-8963
DOIs
StatePublished - 2018
CitationsWeb of Science® Times Cited: 0

    Keywords

  • Black-oil modeling, Production optimization, Reservoir management, Workflow
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