Showing results (1-10 of 103) with videos related to
Sort By:
Pageof 11
Scientific Reports|May 24, 2024
Optimizing hematite filter cake treatment using reducing agentsOsama Siddig, Salaheldin Elkatatny, Saad AlafnanScientific Reports|February 24, 2023
Estimation of rocks' failure parameters from drilling data by using artificial neural networkOsama Siddig, Ahmed Farid Ibrahim, Salaheldin ElkatatnyComputational Intelligence and Neuroscience|September 21, 2021
Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well LogsOsama Siddig, Ahmed Farid Ibrahim, Salaheldin ElkatatnyScientific Reports|June 16, 2021
Real-time prediction of Poisson's ratio from drilling parameters using machine learning toolsOsama Siddig, Hany Gamal, Salaheldin Elkatatny, et al.Computational Intelligence and Neuroscience|August 5, 2021
Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma RayOsama Siddig, Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny, et al.Sensors (Basel, Switzerland)|June 25, 2020
Real-Time Prediction of Rate of Penetration in S-Shape Well Profile Using Artificial Intelligence ModelsSalaheldin ElkatatnyACS Omega|October 17, 2022
Role of Rock Saturation Condition on Rock-Mud Interaction: Sandstone Geomechanics StudyHany Gamal, Salaheldin ElkatatnyACS Omega|June 28, 2021
Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural NetworksAhmed Alsabaa, Salaheldin ElkatatnyScientific Reports|February 9, 2025
Saudi calcium bentonite: a novel modifier for enhanced foamed underbalanced drilling performanceAhmed Gowida, Salaheldin ElkatatnyScientific Reports|October 25, 2023
Micronized calcium carbonate to enhance water-based drilling fluid propertiesSalem Basfar, Salaheldin ElkatatnyPageof 11