| 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 | 69 | 2020 |
| 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 | 36 | 2021 |
| 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 | 25 | 2020 |
| 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 | 21 | 2020 |
| 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 | 12 | 2021 |
| 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 | 8 | 2022 |
| 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 | 7 | 2022 |
| 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 | 6 | 2021 |
| 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 | 1 | 2023 |
| 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 |
| 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 |
Salaheldin ElkatatnyProfessor, King Fahd University of Petroleum & Minerals在 kfupm.edu.sa 的电子邮件经过验证
