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Ahmed Alsabaa
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Real-time prediction of rheological properties of invert emulsion mud using adaptive neuro-fuzzy inference system
A Alsabaa, H Gamal, S Elkatatny, A Abdulraheem
Sensors 20 (6), 1669, 2020
672020
New correlations for better monitoring the all-oil mud rheology by employing artificial neural networks
A Alsabaa, H Gamal, S Elkatatny, A Abdulraheem
Flow Measurement and Instrumentation 78, 101914, 2021
352021
Real-Time Prediction of Rheological Properties of All-Oil Mud Using Artificial Intelligence
A Alsabaa, HA Gamal, SM Elkatatny, A Abdulraheem
54th US Rock Mechanics/Geomechanics Symposium, 2020
252020
Functional neural networks-based model for prediction of the static Young's modulus for sandstone formations
AA Mahmoud, S Elkatatny, A Alsabaa, DA Shehri
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-1689, 2020
212020
Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks
A Alsabaa, S Elkatatny
ACS omega 6 (24), 15816-15826, 2021
112021
Machine Learning Approaches for Compressibility Factor Prediction at High-and Low-Pressure Ranges
AM Salem, M Attia, A Alsabaa, A Abdelaal, Z Tariq
Arabian Journal for Science and Engineering 47 (9), 12193-12204, 2022
82022
Generation of a Complete Profile for Porosity Log While Drilling Complex Lithology by Employing the Artificial Intelligence
A Al-Sabaa, H Gamal, S Elkatatny
SPE Symposium: Artificial Intelligence-Towards a Resilient and Efficient …, 2021
62021
Machine Learning Model for Monitoring Rheological Properties of Synthetic Oil-Based Mud
A Alsabaa, H Gamal, S Elkatatny, Y Abdelraouf
ACS omega 7 (18), 15603-15614, 2022
42022
Machine Learning Advisory System for Mitigating Downhole Vibrations for Horizontal Sections
R Saadeldin, A Alsabaa, A Gowida, H Gamal, S Elkatatny
Abu Dhabi International Petroleum Exhibition and Conference, D011S020R001, 2023
2023
Different Machine Learning Approaches to predict Gas Deviation Factor (Z-factor)
MA Elsayed, A Alsabaa, AM Salem
Journal of Petroleum and Mining Engineering 25 (1), 88-96, 2023
2023
Supercritical Carbon Dioxide Foam Performance for Enhanced Oil Recovery: Challenges and Solutions
A Abdelaal, A Alsabaa, R Gajbhiye, M Mahmoud, D Al-Shehri, S Patil
SPE International Conference on Oilfield Chemistry?, D011S005R002, 2023
2023
Rheology Predictive Model Based on an Artificial Neural Network for Micromax Oil-Based Mud
A Alsabaa, H Gamal, S Elkatatny, DA Al Shehri
Arabian Journal for Science and Engineering, 1-15, 2022
2022
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