| Effect of pH on rheological and filtration properties of water-based drilling fluid based on bentonite H Gamal, S Elkatatny, S Basfar, A Al-Majed Sustainability 11 (23), 6714, 2019 | 90 | 2019 |
| 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 | 67 | 2020 |
| Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools A Gowida, S Elkatatny, H Gamal Neural Computing and Applications 33 (13), 8043-8054, 2021 | 56 | 2021 |
| Rock strength prediction in real-time while drilling employing random forest and functional network techniques H Gamal, A Alsaihati, S Elkatatny, S Haidary, A Abdulraheem Journal of Energy Resources Technology 143 (9), 093004, 2021 | 49 | 2021 |
| Application of artificial neural network to predict the rate of penetration for S-shape well profile A Al-Abduljabbar, H Gamal, S Elkatatny Arabian Journal of Geosciences 13 (16), 784, 2020 | 47 | 2020 |
| Artificial neural networks model for prediction of the rate of penetration while horizontally drilling carbonate formations AA Mahmoud, S Elkatatny, A Al-AbdulJabbar, T Moussa, H Gamal, ... ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-1694, 2020 | 47 | 2020 |
| Effect of different weighting agents on drilling fluids and filter cake properties in sandstone formations BS Bageri, H Gamal, S Elkatatny, S Patil ACS omega 6 (24), 16176-16186, 2021 | 37 | 2021 |
| 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 | 35 | 2021 |
| Rock drillability intelligent prediction for a complex lithology using artificial neural network H Gamal, S Elkatatny, A Abdulraheem Abu Dhabi International Petroleum Exhibition and Conference, D021S030R003, 2020 | 35 | 2020 |
| Rate of penetration prediction while drilling vertical complex lithology using an ensemble learning model A Alsaihati, S Elkatatny, H Gamal Journal of Petroleum Science and Engineering 208, 109335, 2022 | 33 | 2022 |
| Predicting the rock sonic logs while drilling by random forest and decision tree-based algorithms H Gamal, A Alsaihati, S Elkatatny Journal of Energy Resources Technology 144 (4), 043203, 2022 | 31 | 2022 |
| Artificial intelligence models for real-time bulk density prediction of vertical complex lithology using the drilling parameters A Ahmed, S Elkatatny, H Gamal, A Abdulraheem Arabian Journal for Science and Engineering 47 (9), 10993-11006, 2022 | 28 | 2022 |
| Intelligent prediction for rock porosity while drilling complex lithology in real time H Gamal, S Elkatatny, A Alsaihati, A Abdulraheem Computational intelligence and neuroscience 2021, 1-12, 2021 | 28 | 2021 |
| Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools O Siddig, H Gamal, S Elkatatny, A Abdulraheem Scientific Reports 11 (1), 12611, 2021 | 26 | 2021 |
| Real-time prediction of rheological properties of all-oil mud using artificial intelligence A Alsabaa, HA Gamal, SM Elkatatny, A Abdulraheem ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-1645, 2020 | 25 | 2020 |
| Applying different artificial intelligence techniques in dynamic Poisson’s ratio prediction using drilling parameters O Siddig, H Gamal, S Elkatatny, A Abdulraheem Journal of Energy Resources Technology 144 (7), 073006, 2022 | 24 | 2022 |
| Effect of exposure time on the compressive strength and formation damage of sandstone while drilling horizontal wells H Gamal, S Elkatatny, A Adebayo, B Bageri Journal of Petroleum Science and Engineering 195, 107590, 2020 | 22 | 2020 |
| Prediction model based on an artificial neural network for rock porosity H Gamal, S Elkatatny Arabian Journal for Science and Engineering 47 (9), 11211-11221, 2022 | 21 | 2022 |
| Machine learning models for equivalent circulating density prediction from drilling data H Gamal, A Abdelaal, S Elkatatny ACS omega 6 (41), 27430-27442, 2021 | 21 | 2021 |
| A novel solution for severe loss prevention while drilling deep wells S Elkatatny, H Gamal, A Ahmed, P Sarmah, S Sangaru, M Alohaly Sustainability 12 (4), 1339, 2020 | 18 | 2020 |
Salaheldin ElkatatnyProfessor, King Fahd University of Petroleum & MineralsVerified email at kfupm.edu.sa
