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Abdulazeez Abdulraheem

Showing results (1-10 of 23) with videos related to

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ACS Omega|May 13, 2022
Impact of HCl Acidizing Treatment on Mechanical Integrity of Carbonaceous ShaleAbdulazeez Abdulraheem
Scientific Reports|July 5, 2022
Real-time prediction of formation pressure gradient while drillingAhmed Abdelaal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
ACS Omega|June 7, 2021
Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling ParametersAhmed Abdelaal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Scientific Reports|September 3, 2023
Real-time rate of penetration prediction for motorized bottom hole assembly using machine learning methodsAmir Shokry, Salaheldin Elkatatny, Abdulazeez Abdulraheem
ACS Omega|December 30, 2020
Effect of the Filtrate Fluid of Water-Based Mud on Sandstone Rock Strength and Elastic ModuliHany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
ACS Omega|January 18, 2021
Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent MachinesAhmed Alsaihati, Salaheldin Elkatatny, Abdulazeez Abdulraheem
ACS Omega|September 19, 2022
Geomechanics of Organic Matters Contained in Shales: A Molecular-Level InvestigationElshad Aslanov, Saad Alafnan, Mohamed Mahmoud, et al.
ACS Omega|February 10, 2021
Data-Driven Approaches to Predict Thermal Maturity Indices of Organic Matter Using Artificial Neural NetworksZeeshan Tariq, Mohamed Mahmoud, Mohamed Abouelresh, et al.
Scientific 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.
Sensors (Basel, Switzerland)|March 21, 2020
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference SystemAhmed Alsabaa, Hany Gamal, Salaheldin Elkatatny, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
ACS Omega|May 13, 2022
Impact of HCl Acidizing Treatment on Mechanical Integrity of Carbonaceous ShaleAbdulazeez Abdulraheem
Scientific Reports|July 5, 2022
Real-time prediction of formation pressure gradient while drillingAhmed Abdelaal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
ACS Omega|June 7, 2021
Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling ParametersAhmed Abdelaal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Scientific Reports|September 3, 2023
Real-time rate of penetration prediction for motorized bottom hole assembly using machine learning methodsAmir Shokry, Salaheldin Elkatatny, Abdulazeez Abdulraheem
ACS Omega|December 30, 2020
Effect of the Filtrate Fluid of Water-Based Mud on Sandstone Rock Strength and Elastic ModuliHany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
ACS Omega|January 18, 2021
Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent MachinesAhmed Alsaihati, Salaheldin Elkatatny, Abdulazeez Abdulraheem
ACS Omega|September 19, 2022
Geomechanics of Organic Matters Contained in Shales: A Molecular-Level InvestigationElshad Aslanov, Saad Alafnan, Mohamed Mahmoud, et al.
ACS Omega|February 10, 2021
Data-Driven Approaches to Predict Thermal Maturity Indices of Organic Matter Using Artificial Neural NetworksZeeshan Tariq, Mohamed Mahmoud, Mohamed Abouelresh, et al.
Scientific 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.
Sensors (Basel, Switzerland)|March 21, 2020
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference SystemAhmed Alsabaa, Hany Gamal, Salaheldin Elkatatny, et al.
Pageof 3