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Работы, на которые ссылается эта работа

Работ: 71

Работа: Predicting filter cake thickness in drilling fluids using machine learning techniques

  1. Machine learning-based estimation of nano-lubricants viscosity in different operating conditions

    Amin Bemani, Mohammad Madani, Alireza Kazemi

    Статья2023Цитирований: 25
    ABI
  2. Identification of cyclin protein using gradient boost decision tree algorithm

    Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang +4

    Статья2021Цитирований: 9
    ABI
  3. Без названия

    ДругоеЦитирований: 9
    ABI
  4. Modeling of CO<sub>2</sub>-brine interfacial tension: Application to enhanced oil recovery

    Mohammad Madani, Peyman Abbasi, Alireza Baghban +2

    Статья2017Цитирований: 7
    ABI
  5. Seepage Characteristics of Broken Carbonaceous Shale under Cyclic Loading and Unloading Conditions

    Lei Zhang, Xiaochuan Yuan, Liang Luo +2

    Статья2023Цитирований: 7
    ABI
  6. The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

    Yile Ao, Hongqi Li, Liping Zhu +2

    Статья2018Цитирований: 6
    ABI
  7. Modeling thermal-induced wellhead growth through the lifecycle of a well

    Hao Yu, Zhaoyang Zhao, Arash Dahi Taleghani +2

    Статья2024Цитирований: 6
    ABI
  8. Seepage Characteristics of Coal under Complex Mining Stress Environment Conditions

    Lei Zhang, Liang Luo, Jianzhong Pan +3

    Статья2024Цитирований: 6
    ABI
  9. Nanoparticles in drilling fluid: A review of the state-of-the-art

    Goshtasp Cheraghian

    Обзорная статья2021Цитирований: 6
    ABI
  10. GPR detection localization of underground structures based on deep learning and reverse time migration

    Jianwei Lei, Hongyuan Fang, Yining Zhu +5

    Статья2024Цитирований: 4
    ABI
  11. FSRF:An Improved Random Forest for Classification

    Wenxian Feng, Chenkai Ma, Guozhang Zhao +1

    Статья2020Цитирований: 4
    ABI
  12. Optimization of Water-based Drilling Fluid Using Non-ionic and Anionic Surfactant Additives

    Putri Yunita, Sonny Irawan, Dina Kania

    Статья2016Цитирований: 4
    ABI