Salaheldin Elkatatny

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 16

Top Topics

Prediction Accuracy

Artificial Intelligence

Top Venues

Comput. Intell. Neurosci.

Neural Comput. Appl.

Publications

Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Photoelectric factor prediction using automated learning and uncertainty quantification. Neural Comput. Appl. 35 (30) (2023)
Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification. CoRR (2022)
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 (2022)
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) (2021)
Hany Gamal, Salaheldin Elkatatny, Ahmed Alsaihati, Abdulazeez Abdulraheem
Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time. Comput. Intell. Neurosci. 2021 (2021)
Osama Siddig, Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny, Pantelis Soupios
Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma Ray. Comput. Intell. Neurosci. 2021 (2021)
Ashraf Ahmed, Salaheldin Elkatatny, Ahmed Alsaihati
Applications of Artificial Intelligence for Static Poisson's Ratio Prediction While Drilling. Comput. Intell. Neurosci. 2021 (2021)
Ahmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulwahab Ali
Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application. Comput. Intell. Neurosci. 2021 (2021)
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 (2021)
Salaheldin Elkatatny
Real-Time Prediction of Rate of Penetration in S-Shape Well Profile Using Artificial Intelligence Models. Sensors 20 (12) (2020)
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 (2020)
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) (2020)
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) (2020)
Salaheldin Elkatatny, Ahmed Al-AbdulJabbar, Khaled Abdelgawad
A New Model for Predicting Rate of Penetration Using an Artificial Neural Network. Sensors 20 (7) (2020)
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) (2019)
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) (2018)