Use of multi-objective algorithms in history matching of a real field

Michael Andrew Christie, Dmitry Eydinov, Vasily Demyanov, Jack Talbot, Daniel Arnold, Vassilii Shelkov

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    34 Citations (Scopus)

    Abstract

    Conventionally, automated history matching methods operated on a single number (the misfit or match quality) which is obtained by summing the least square misfits for all the quantities of interest in a history match. Multi-objective history matching allows the algorithm to be guided by (usually groups of) match quality components, with the overall history match probability determined by summing the components at the end. This feature encourages diversity in the history match, as the algorithm can trade off matches in one area against good fits elsewhere, and has also been shown to speed up history matching in some cases.

    This paper describes a comparison of single and multi-objective history matching of a medium-sized field in Western Siberia with nearly 100 wells and over 10 years of history. We compared the performance of both single and multi objective versions of Differential Evolution and Particle Swarm Optimisation in the history match phase, and assess the performance of all algorithms in forecast mode. We also compare the effectiveness of various different choices of history match parameters chosen based on reservoir engineering knowledge. Using these techniques, we are able to obtain a high-quality group level match with a relatively low number of simulation runs.

    The paper also describes trade-offs between the parallelism of the history matching process and that of the simulator on both a 12 core windows workstation and a 240 core cluster. This is an important trade-off as neither of the extreme choices of using of all the cores by the simulator nor limiting each simulation to a single core and using each core for a separate history matching run is likely to be optimal.
    Original languageEnglish
    Title of host publicationSPE Reservoir Simulation Symposium
    Place of PublicationRichardson, Texas
    PublisherSociety of Petroleum Engineers
    Pages57-67
    Number of pages11
    ISBN (Electronic)9781613992333
    ISBN (Print)9781627480246
    DOIs
    Publication statusPublished - Feb 2013
    EventSPE Reservoir Simulation Symposium 2013 - The Woodlands, Texas, United States
    Duration: 18 Feb 201320 Feb 2013

    Conference

    ConferenceSPE Reservoir Simulation Symposium 2013
    CountryUnited States
    CityThe Woodlands, Texas
    Period18/02/1320/02/13

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  • Cite this

    Christie, M. A., Eydinov, D., Demyanov, V., Talbot, J., Arnold, D., & Shelkov, V. (2013). Use of multi-objective algorithms in history matching of a real field. In SPE Reservoir Simulation Symposium (pp. 57-67). Society of Petroleum Engineers. https://doi.org/10.2118/163580-MS