Salaheldin Elkatatny
Orcid: 0000-0002-7209-3715
According to our database1,
Salaheldin Elkatatny
authored at least 13 papers
between 2018 and 2023.
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Bibliography
2023
Photoelectric factor prediction using automated learning and uncertainty quantification.
Neural Comput. Appl., October, 2023
2022
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
2021
Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools.
Neural Comput. Appl., 2021
Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well Logs.
Comput. Intell. Neurosci., 2021
Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time.
Comput. Intell. Neurosci., 2021
Applications of Artificial Intelligence for Static Poisson's Ratio Prediction While Drilling.
Comput. Intell. Neurosci., 2021
2020
Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks.
Sensors, 2020
Sensors, 2020
Real-Time Prediction of Rate of Penetration in S-Shape Well Profile Using Artificial Intelligence Models.
Sensors, 2020
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System.
Sensors, 2020
Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors.
J. Sensors, 2020
2019
An integrated approach for estimating static Young's modulus using artificial intelligence tools.
Neural Comput. Appl., 2019
2018
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network.
Neural Comput. Appl., 2018