Concepedia

Kick Detection Models

Kick Detection Models is a computational framework that systematically identifies anomalous fluid influxes in wellbore pressure dynamics during drilling operations by differentiating normal operational variations from hazardous deviations indicative of subsurface fluid intrusion.

56

Publications

1.6K

Citations

211

Authors

47

Institutions

Publications per year

2017–2026

32

Parents

Publications

56

Data-driven Bayesian network model for early kick detection in industrial drilling process

Dinh Minh Nhat, R. Venkatesan, Faisal Khan · Process Safety and Environmental Protection · 2020 · 83 citations

, , +16

Field data analysis and risk assessment of gas kick during industrial deepwater drilling process based on supervised learning algorithm

Qishuai Yin, Jin Yang, Mayank Tyagi et al. · Process Safety and Environmental Protection · 2020 · 78 citations · Full text

, , +17

Early Kick Detection for Deepwater Drilling: New Probabilistic Methods Applied in the Field

D.M. Hargreaves, S. I. Jardine, Ben Jeffryes · SPE Annual Technical Conference and Exhibition · 2001 · 73 citations

, , +16

A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network

Augustine Uhunoma Osarogiagbon, Somadina Muojeke, R. Venkatesan et al. · Process Safety and Environmental Protection · 2020 · 65 citations

, , +14

Machine Learning for Deepwater Drilling: Gas-Kick-Alarm Classification Using Pilot-Scale Rig Data with Combined Surface-Riser-Downhole Monitoring

Qishuai Yin, Jin Yang, Mayank Tyagi et al. · SPE Journal · 2021 · 65 citations · Full text

, , +17

1–5 of 56

Authors

211

  1. FK
    Faisal Khan

    Memorial University of Newfoundland, Canada

    4 publications · 225 citations

    4

    h-index

  2. RV
    R. Venkatesan

    Memorial University of Newfoundland, Canada

    3 publications · 208 citations

    3

    h-index

  3. XZ
    Xu Zhou

    Louisiana State University, United States

    3 publications · 200 citations

    3

    h-index

  4. MT
    Mayank Tyagi

    Louisiana State University, United States

    3 publications · 200 citations

    3

    h-index

  5. HC
    H. C. Juvkam-Wold

    Mitchell Institute, United States

    3 publications · 46 citations

    3

    h-index

1–5 of 211

Institutions

47

  1. China University of Petroleum, Beijing

    Beijing, China

    9 h-index

    31 publications

    1.1K citations

  2. Schlumberger (British Virgin Islands)

    Road Town, British Virgin Islands

    6 h-index

    16 publications

    492 citations

  3. Texas A&M University

    College Station, United States

    6 h-index

    11 publications

    195 citations

  4. Mitchell Institute

    Portland, United States

    5 h-index

    9 publications

    161 citations

  5. Memorial University of Newfoundland

    St. John's, Canada

    5 h-index

    15 publications

    822 citations

  6. China University of Petroleum, East China

    Qingdao, China

    5 h-index

    16 publications

    614 citations

  7. BP (United Kingdom)

    London, United Kingdom

    4 h-index

    9 publications

    270 citations

  8. Louisiana State University

    Baton Rouge, United States

    3 h-index

    7 publications

    325 citations

1–8 of 47

Venues

  1. Journal of Petroleum Science and Engineering

    8 publications · 305 citations

    8

    h-index

  2. SPE Drilling & Completion

    5 publications · 141 citations

    5

    h-index

  3. Process Safety and Environmental Protection

    5 publications · 271 citations

    5

    h-index

  4. Geoenergy Science and Engineering

    2 publications · 45 citations

    4

    h-index

  5. SPE Annual Technical Conference and Exhibition

    Conference · 4 publications · 110 citations

    4

    h-index

1–5