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Ahmed Abdulhamid Mahmoud
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Journal Articles

Estimating the Total Organic Carbon for Unconventional Shale Resources During the Drilling Process: A Machine Learning Approach

Ahmed Abdulhamid Mahmoud, Hany Gamal, Salaheldin Elkatatny, Ahmed Alsaihati
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. April 2022, 144(4): 043004.
Paper No: JERT-21-1539
https://doi.org/10.1115/1.4051737
Published Online: July 19, 2021
View Article titled, Estimating the Total Organic Carbon for Unconventional Shale Resources During the Drilling Process: A Machine Learning Approach
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Topics: Algorithms, Carbon, Machine learning, Testing, Gamma rays, Fuzzy neural nets, Potassium, Uranium, Drilling
Journal Articles

Novel Empirical Correlation for Estimation of the Total Organic Carbon in Devonian Shale From the Spectral Gamma-Ray and Based on the Artificial Neural Networks

Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2021, 143(9): 093002.
Paper No: JERT-20-1977
https://doi.org/10.1115/1.4050777
Published Online: April 29, 2021
View Article titled, Novel Empirical Correlation for Estimation of the Total Organic Carbon in Devonian Shale From the Spectral Gamma-Ray and Based on the Artificial Neural Networks
Open the PDF for Novel Empirical Correlation for Estimation of the Total Organic Carbon in Devonian Shale From the Spectral Gamma-Ray and Based on the Artificial Neural Networks in another window
Topics: Artificial neural networks, Carbon, Shales, Testing, Gamma rays, Potassium, Uranium
Journal Articles

Estimation of the Rate of Penetration While Horizontally Drilling Carbonate Formation Using Random Forest

Hany Osman, Abdulwahab Ali, Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. September 2021, 143(9): 093003.
Paper No: JERT-20-2001
https://doi.org/10.1115/1.4050778
Published Online: April 29, 2021
View Article titled, Estimation of the Rate of Penetration While Horizontally Drilling Carbonate Formation Using Random Forest
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Topics: Artificial neural networks, Drilling, Machine learning, Regression models, Algorithms, Testing
Journal Articles

Use of Machine Learning and Data Analytics to Detect Downhole Abnormalities While Drilling Horizontal Wells, With Real Case Study

Ahmed Alsaihati, Salaheldin Elkatatny, Ahmed Abdulhamid Mahmoud, Abdulazeez Abdulraheem
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. April 2021, 143(4): 043201.
Paper No: JERT-20-1090
https://doi.org/10.1115/1.4048070
Published Online: August 28, 2020
View Article titled, Use of Machine Learning and Data Analytics to Detect Downhole Abnormalities While Drilling Horizontal Wells, With Real Case Study
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Topics: Artificial neural networks, Drilling, Torque, Wells, Testing, Drag (Fluid dynamics), Pipes
Journal Articles

New Hybrid Hole Cleaning Model for Vertical and Deviated Wells

Ahmed Abdulhamid Mahmoud, Mahmoud Elzenary, Salaheldin Elkatatny
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Technical Briefs
J. Energy Resour. Technol. March 2020, 142(3): 034501.
Paper No: JERT-19-1124
https://doi.org/10.1115/1.4045169
Published Online: October 23, 2019
View Article titled, New Hybrid Hole Cleaning Model for Vertical and Deviated Wells
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Topics: Cutting, Drilling, Fluids, High cycle fatigue, Wells, Drills (Tools), Pipes, Rheology, Computer software, Density