Concepedia

Machine Learning For Drilling Optimization

Machine Learning for Drilling Optimization is a computational methodology that employs machine learning algorithms to model, predict, and enhance drilling performance by identifying optimal operational parameters from historical and real-time drilling data.

141

Publications

6.2K

Citations

496

Authors

181

Institutions

Publications per year

2017–2026

101

Parents

Publications

141

Virtual-Intelligence Applications in Petroleum Engineering: Part 1—Artificial Neural Networks

Shahab D. Mohaghegh · Journal of Petroleum Technology · 2000 · 372 citations

, , +17

Application and development trend of artificial intelligence in petroleum exploration and development

Lichun Kuang, He Liu, Yili Ren et al. · Petroleum Exploration and Development · 2021 · 306 citations · Full text

, , +16

Optimization of multistage femtosecond laser drilling process using machine learning coupled with molecular dynamics

Chenchong Wang, Zhen Zhang, Xueyong Jing et al. · Optics & Laser Technology · 2022 · 178 citations

, , +14

Dynamic evaluation of drilling leakage risk based on fuzzy theory and PSO-SVR algorithm

Haibo Liang, Jialing Zou, Zhiling Li et al. · Future Generation Computer Systems · 2019 · 176 citations

, , +17

Optimization of low-power femtosecond laser trepan drilling by machine learning and a high-throughput multi-objective genetic algorithm

Zhen Zhang, Shangyu Liu, Yuqiang Zhang et al. · Optics & Laser Technology · 2021 · 168 citations

, , +15

1–5 of 141

Authors

496

  1. SE
    Salaheldin Elkatatny

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    8 publications · 174 citations

    8

    h-index

  2. AB
    Andrés Bustillo

    Universidad de Burgos, Spain

    3 publications · 177 citations

    3

    h-index

  3. CH
    Chiranth Hegde

    The University of Texas at Austin, United States

    3 publications · 331 citations

    3

    h-index

  4. SD
    Shahab D. Mohaghegh

    West Virginia University, United States

    3 publications · 556 citations

    3

    h-index

  5. JY
    Jin Yang

    China University of Petroleum, Beijing, China

    3 publications · 97 citations

    3

    h-index

1–5 of 496

Institutions

181

  1. China University of Petroleum, Beijing

    Beijing, China

    8 h-index

    40 publications

    2K citations

  2. King Fahd University of Petroleum and Minerals

    Dhahran, Saudi Arabia

    8 h-index

    19 publications

    449 citations

  3. Petroleum University of Technology

    Tehran, Iran

    5 h-index

    8 publications

    218 citations

  4. Southwest Petroleum University

    Chengdu, China

    4 h-index

    13 publications

    735 citations

  5. Texas A&M University

    College Station, United States

    3 h-index

    10 publications

    160 citations

  6. China National Petroleum Corporation (China)

    Beijing, China

    3 h-index

    9 publications

    1.2K citations

  7. Universidad de Burgos

    Burgos, Spain

    3 h-index

    3 publications

    177 citations

  8. Northeastern University

    Shenyang, China

    3 h-index

    9 publications

    1.4K citations

1–8 of 181

Venues

  1. Journal of Petroleum Science and Engineering

    11 publications · 491 citations

    11

    h-index

  2. 5

    h-index

  3. Journal of Petroleum Technology

    JPT · 4 publications · 599 citations

    4

    h-index

  4. Journal of Intelligent Manufacturing

    4 publications · 171 citations

    4

    h-index

  5. Neural Computing and Applications

    3 publications · 163 citations

    3

    h-index

1–5