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Ahmed Gowida

Showing results (1-10 of 11) with videos related to

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Scientific Reports|February 9, 2025
Saudi calcium bentonite: a novel modifier for enhanced foamed underbalanced drilling performanceAhmed Gowida, Salaheldin Elkatatny
Scientific Reports|September 21, 2022
A hybrid data-driven solution to facilitate safe mud window predictionAhmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny
ACS Omega|February 19, 2024
Impact of Eco-Friendly Drilling Additives on Foaming Properties for Sustainable Underbalanced Foam Drilling ApplicationsAhmed Gowida, Salaheldin Elkatatny, Ahmed Farid Ibrahim
Sensors (Basel, Switzerland)|May 20, 2020
Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural NetworksAhmed Gowida, Salaheldin Elkatatny, Khaled Abdelgawad, et al.
Scientific Reports|December 7, 2021
Machine learning application to predict in-situ stresses from logging dataAhmed Farid Ibrahim, Ahmed Gowida, Abdulwahab Ali, et al.
ACS Omega|January 16, 2023
Application of Silicomanganese Fume as a Novel Bridging Material for Water-Based Drilling FluidsWaseem Razzaq, Salaheldin Elkatatny, Ahmed Gowida, et al.
ACS Omega|March 2, 2026
Foam Stability Evaluation of a Biodegradable Surfactant with Green Polymeric Stabilizers for Underbalanced Drilling FluidsAhmed Gowida, Moaz Dafaalla, Ahmed Farag, et al.
ACS Omega|May 13, 2022
New Empirical Correlations to Estimate the Least Principal Stresses Using Conventional Logging DataAhmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny, et al.
Computational Intelligence and Neuroscience|December 10, 2021
Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning ApplicationAhmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny, et al.
ACS Omega|March 31, 2025
Optimized Gradient Boosting Models for Adaptive Prediction of Uniaxial Compressive Strength in Carbonate Rocks Using Drilling DataStephen Adjei, Ahmed Gowida, Salaheldin Elkatatny, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Scientific Reports|February 9, 2025
Saudi calcium bentonite: a novel modifier for enhanced foamed underbalanced drilling performanceAhmed Gowida, Salaheldin Elkatatny
Scientific Reports|September 21, 2022
A hybrid data-driven solution to facilitate safe mud window predictionAhmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny
ACS Omega|February 19, 2024
Impact of Eco-Friendly Drilling Additives on Foaming Properties for Sustainable Underbalanced Foam Drilling ApplicationsAhmed Gowida, Salaheldin Elkatatny, Ahmed Farid Ibrahim
Sensors (Basel, Switzerland)|May 20, 2020
Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural NetworksAhmed Gowida, Salaheldin Elkatatny, Khaled Abdelgawad, et al.
Scientific Reports|December 7, 2021
Machine learning application to predict in-situ stresses from logging dataAhmed Farid Ibrahim, Ahmed Gowida, Abdulwahab Ali, et al.
ACS Omega|January 16, 2023
Application of Silicomanganese Fume as a Novel Bridging Material for Water-Based Drilling FluidsWaseem Razzaq, Salaheldin Elkatatny, Ahmed Gowida, et al.
ACS Omega|March 2, 2026
Foam Stability Evaluation of a Biodegradable Surfactant with Green Polymeric Stabilizers for Underbalanced Drilling FluidsAhmed Gowida, Moaz Dafaalla, Ahmed Farag, et al.
ACS Omega|May 13, 2022
New Empirical Correlations to Estimate the Least Principal Stresses Using Conventional Logging DataAhmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny, et al.
Computational Intelligence and Neuroscience|December 10, 2021
Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning ApplicationAhmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny, et al.
ACS Omega|March 31, 2025
Optimized Gradient Boosting Models for Adaptive Prediction of Uniaxial Compressive Strength in Carbonate Rocks Using Drilling DataStephen Adjei, Ahmed Gowida, Salaheldin Elkatatny, et al.
Pageof 2