Drilling Data Analytics

Drilling Data Analytics is a systematic computational and statistical methodology for extracting actionable insights, optimizing performance, and enhancing decision-making in drilling operations through the analysis of high-volume, multi-source drilling data streams.

56

Publications

1.5K

Citations

227

Authors

57

Institutions

Publications per year

2017–2026

40

Authors

227

  1. MB
    Michael Behounek

    Apache (Canada), Canada

    4 publications · 70 citations

    4

    h-index

  2. SA
    Salem Al Gharbi

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    2 publications · 80 citations

    2

    h-index

  3. DS
    Dan Sui

    University of Stavanger, Norway

    2 publications · 34 citations

    2

    h-index

  4. HL
    Henry Licis

    2 publications · 26 citations

    2

    h-index

  5. AR
    Atif Rizwan

    Jeju National University, South Korea

    2 publications · 31 citations

    2

    h-index

1–5 of 227

Venues

  1. International Petroleum Technology Conference

    Conference · 4 publications · 115 citations

    4

    h-index

  2. IADC/SPE Drilling Conference and Exhibition

    Conference · 4 publications · 66 citations

    4

    h-index

  3. IEEE Access

    3 publications · 43 citations

    3

    h-index

  4. Journal of Petroleum Science and Engineering

    3 publications · 153 citations

    3

    h-index

  5. 2

    h-index

1–5