Real-time Drilling Optimization

Real-Time Drilling Optimization is a computational framework within drilling automation that continuously adjusts drilling parameters during operations by integrating live downhole data and surface measurements to maximize performance metrics such as rate of penetration, borehole quality, and operational safety in an adaptive, closed-loop manner.

34

Publications

1.7K

Citations

137

Authors

45

Institutions

Publications per year

2017–2026

11

Authors

137

  1. FE
    Fred E. Dupriest

    ExxonMobil (Germany), Germany

    3 publications · 557 citations

    3

    h-index

  2. XC
    Xuyue Chen

    China University of Petroleum, Beijing, China

    3 publications · 205 citations

    3

    h-index

  3. KS
    Knut S. Bjørkevoll

    SINTEF, Norway

    3 publications · 72 citations

    3

    h-index

  4. GS
    Gregory S. Payette

    ExxonMobil (Germany), Germany

    3 publications · 62 citations

    3

    h-index

  5. AE
    Asad Elmgerbi

    Montanuniversität Leoben, Austria

    2 publications · 37 citations

    2

    h-index

1–5 of 137

Venues

  1. Journal of Energy Resources Technology

    3 publications · 113 citations

    3

    h-index

  2. Journal of Natural Gas Science and Engineering

    2 publications · 270 citations

    2

    h-index

  3. SPE Annual Technical Conference and Exhibition

    Conference · 2 publications · 84 citations

    2

    h-index

  4. SPE/IADC Middle East Drilling Technology Conference and Exhibition

    Conference · 2 publications · 44 citations

    2

    h-index

  5. Arabian Journal for Science and Engineering

    1 publications · 64 citations

    1

    h-index

1–5