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71 ta ish

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

  1. Optimization of the Random Forest Algorithm

    Niva Mohapatra, K. Shreya, Ayes Chinmay

    Bob20203 iqtibos
    ABI
  2. A critical review of drilling mud rheological models

    Okorie Ekwe Agwu, Julius U. Akpabio, Moses E. Ekpenyong +4

    Sharh maqola20213 iqtibos
    ABI
  3. Effect of water-based drilling fluid components on filter cake structure

    Rugang Yao, Guancheng Jiang, Wei Li +2

    Maqola20143 iqtibos
    ABI
  4. A Survey on ensemble learning under the era of deep learning

    Yongquan Yang, Haijun Lv, Ning Chen

    Maqola20223 iqtibos
    ABI
  5. IMPROVEMENT OF DRILLING FLUID FOR CONSTRUCTION OF WELLS

    R.S. Shaymanova, M.K. Urazov, D.N. Yuldosheva +2

    Maqola20222 iqtibos
    ABI
  6. Filtration Behavior of Circulating Drilling Fluids

    C. Bezemer, I. Havenaar

    Maqola19662 iqtibos
    ABI