Kick Detection Algorithms

Kick Detection Algorithms is a computational method designed to identify the early signs of unplanned fluid influx in oil and gas wellbores during drilling operations by continuously analyzing real-time downhole and surface measurements for anomalies indicative of formation fluid entry.

49

Publications

1.8K

Citations

188

Authors

53

Institutions

Publications per year

2017–2026

30

Authors

188

  1. FK
    Faisal Khan

    Memorial University of Newfoundland, Canada

    4 publications · 264 citations

    4

    h-index

  2. RV
    R. Venkatesan

    Memorial University of Newfoundland, Canada

    4 publications · 264 citations

    4

    h-index

  3. KM
    Kaushik Manikonda

    Texas A&M University at Qatar, Qatar

    2 publications · 40 citations

    3

    h-index

  4. GL
    Gonghui Liu

    China University of Petroleum, Beijing, China

    3 publications · 83 citations

    3

    h-index

  5. MA
    Mohammad Azizur Rahman

    Texas A&M University at Qatar, Qatar

    2 publications · 40 citations

    3

    h-index

1–5 of 188

Venues

  1. Journal of Petroleum Science and Engineering

    8 publications · 323 citations

    8

    h-index

  2. Process Safety and Environmental Protection

    6 publications · 306 citations

    6

    h-index

  3. Geoenergy Science and Engineering

    2 publications · 45 citations

    4

    h-index

  4. SPE Annual Technical Conference and Exhibition

    Conference · 3 publications · 155 citations

    3

    h-index

  5. 2

    h-index

1–5