• Applications of Machine Learning Methods to Predict Hole Cleaning in Horizontal and Highly Deviated Wells 

      Mendez, Michael; Ahmed, Ramadan; Karami, Hamidreza; Nasser, Mustafa; Hussein, Ibnelwaleed; ... more authors ( Society of Petroleum Engineers (SPE) , 2023 , Conference Paper)
      Machine learning (ML) has become a robust method for modeling field operations based on measurements. For example, wellbore cleanout is a critical operation that needs to be optimized to enhance the removal of solids to ...
    • Machine Learning for Capillary Pressure Estimation 

      Kasha, A. A.; Sakhaee-Pour, A.; Hussein, I. A. ( Society of Petroleum Engineers (SPE) , 2022 , Article)
      Capillary pressure plays an essential role in controlling multiphase flow in porous media and is often difficult to be estimated at subsurface conditions. The Leverett capillary pressure function J provides a convenient ...