Well Control Optimization

Well Control Optimization is a methodological framework within history matching that systematically determines optimal operational settings for well controls by minimizing the discrepancy between simulated and observed reservoir performance data.

30

Publications

1.2K

Citations

93

Authors

39

Institutions

Publications per year

2017–2026

21

Authors

93

  1. LJ
    Louis J. Durlofsky

    Stanford University, United States

    6 publications · 529 citations

    6

    h-index

  2. CD
    Caspar Daniel Adenutsi

    China University of Geosciences (Beijing), China

    2 publications · 73 citations

    2

    h-index

  3. KW
    Kongjie Wang

    China University of Geosciences (Beijing), China

    2 publications · 73 citations

    2

    h-index

  4. GC
    Guodong Chen

    China University of Petroleum, East China, China

    2 publications · 53 citations

    2

    h-index

  5. AC
    Albert C. Reynolds

    University of Tulsa, United States

    2 publications · 91 citations

    2

    h-index

1–5 of 93

Venues

  1. Journal of Petroleum Science and Engineering

    8 publications · 329 citations

    8

    h-index

  2. Computational Geosciences

    7 publications · 391 citations

    7

    h-index

  3. SPE Journal

    4 publications · 128 citations

    4

    h-index

  4. 1

    h-index

  5. Computers & Chemical Engineering

    1 publications · 27 citations

    1

    h-index

1–5