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Salaheldin Elkatatny
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2020 – today
- 2023
- [j13]Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem:
Photoelectric factor prediction using automated learning and uncertainty quantification. Neural Comput. Appl. 35(30): 22595-22604 (2023) - 2022
- [j12]Ahmad Al-Abduljabbar, Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny, Mahmoud Abughaban:
A Novel Artificial Neural Network-Based Correlation for Evaluating the Rate of Penetration in a Natural Gas Bearing Sandstone Formation: A Case Study in a Middle East Oil Field. J. Sensors 2022: 9444076:1-9444076:14 (2022) - [i1]Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem:
Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification. CoRR abs/2206.08950 (2022) - 2021
- [j11]Osama Siddig, Ahmed Farid Ibrahim, Salaheldin Elkatatny:
Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well Logs. Comput. Intell. Neurosci. 2021: 7390055:1-7390055:9 (2021) - [j10]Ashraf Ahmed, Salaheldin Elkatatny, Ahmed Alsaihati:
Applications of Artificial Intelligence for Static Poisson's Ratio Prediction While Drilling. Comput. Intell. Neurosci. 2021: 9956128:1-9956128:10 (2021) - [j9]Hany Gamal, Salaheldin Elkatatny, Ahmed Alsaihati, Abdulazeez Abdulraheem:
Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time. Comput. Intell. Neurosci. 2021: 9960478:1-9960478:12 (2021) - [j8]Ahmed Gowida, Salaheldin Elkatatny, Hany Gamal:
Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools. Neural Comput. Appl. 33(13): 8043-8054 (2021) - 2020
- [j7]Abdulmalek Ahmed, Salaheldin Elkatatny, Abdulwahab Ali, Mahmoud Abughaban, Abdulazeez Abdulraheem:
Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors. J. Sensors 2020: 8851065:1-8851065:18 (2020) - [j6]Ahmed Alsabaa, Hany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem:
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System. Sensors 20(6): 1669 (2020) - [j5]Salaheldin Elkatatny, Ahmed Al-AbdulJabbar, Khaled Abdelgawad:
A New Model for Predicting Rate of Penetration Using an Artificial Neural Network. Sensors 20(7): 2058 (2020) - [j4]Ahmed Gowida, Salaheldin Elkatatny, Khaled Abdelgawad, Rahul Gajbhiye:
Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks. Sensors 20(10): 2787 (2020) - [j3]Salaheldin Elkatatny:
Real-Time Prediction of Rate of Penetration in S-Shape Well Profile Using Artificial Intelligence Models. Sensors 20(12): 3506 (2020)
2010 – 2019
- 2019
- [j2]Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ibrahim Mohamed:
An integrated approach for estimating static Young's modulus using artificial intelligence tools. Neural Comput. Appl. 31(8): 4123-4135 (2019) - 2018
- [j1]Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq, Abdulazeez Abdulraheem:
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. Neural Comput. Appl. 30(9): 2673-2683 (2018)
Coauthor Index
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