| Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network AAA Mahmoud, S Elkatatny, M Mahmoud, M Abouelresh, A Abdulraheem, ... International Journal of Coal Geology 179, 72-80, 2017 | 185 | 2017 |
| Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box) S Elkatatny, Z Tariq, M Mahmoud Journal of Petroleum Science and Engineering 146, 1202-1210, 2016 | 166 | 2016 |
| New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network S Elkatatny, M Mahmoud, Z Tariq, A Abdulraheem Neural Computing and Applications 30, 2673-2683, 2018 | 131 | 2018 |
| Real-time prediction of rheological parameters of KCL water-based drilling fluid using artificial neural networks S Elkatatny Arabian Journal for Science and Engineering 42, 1655-1665, 2017 | 112 | 2017 |
| Real-time determination of rheological properties of spud drilling fluids using a hybrid artificial intelligence technique K Abdelgawad, S Elkatatny, T Moussa, M Mahmoud, S Patil Journal of Energy Resources Technology 141 (3), 032908, 2019 | 111 | 2019 |
| Characterization of filter cake generated by water-based drilling fluids using CT scan SM Elkatatny, MA Mahmoud, HA Nasr-El-Din SPE Drilling & completion 27 (02), 282-293, 2012 | 92 | 2012 |
| Single stage filter cake removal of barite weighted water based drilling fluid M Mahmoud, A Abdulraheem, SH Al-Mutairi, SM Elkatatny, ... Journal of Petroleum Science and Engineering 149, 476-484, 2017 | 91 | 2017 |
| 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 |
| New approach to optimize the rate of penetration using artificial neural network S Elkatatny Arabian Journal for Science and Engineering 43, 6297-6304, 2018 | 85 | 2018 |
| Development of a new correlation to determine the static Young’s modulus S Elkatatny, M Mahmoud, I Mohamed, A Abdulraheem Journal of Petroleum Exploration and Production Technology 8, 17-30, 2018 | 83 | 2018 |
| A robust rate of penetration model for carbonate formation A Al-AbdulJabbar, S Elkatatny, M Mahmoud, K Abdelgawad, A Al-Majed Journal of Energy Resources Technology 141 (4), 042903, 2019 | 79 | 2019 |
| A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids NS Muhammed, T Olayiwola, S Elkatatny Journal of Petroleum Science and Engineering 206, 109043, 2021 | 77 | 2021 |
| An integrated approach for estimating static Young’s modulus using artificial intelligence tools S Elkatatny, Z Tariq, M Mahmoud, A Abdulraheem, I Mohamed Neural Computing and Applications 31, 4123-4135, 2019 | 77 | 2019 |
| A new artificial intelligence based empirical correlation to predict sonic travel time Z Tariq, S Elkatatny, M Mahmoud, A Abdulraheem International Petroleum Technology Conference, D012S057R001, 2016 | 76 | 2016 |
| New model for pore pressure prediction while drilling using artificial neural networks A Ahmed, S Elkatatny, A Ali, M Mahmoud, A Abdulraheem Arabian Journal for Science and Engineering 44 (6), 6079-6088, 2019 | 73 | 2019 |
| Optimization of rate of penetration using artificial intelligent techniques SM Elkatatny, Z Tariq, MA Mahmoud, A Al-AbdulJabbar ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2017-0429, 2017 | 73 | 2017 |
| Development of new permeability formulation from well log data using artificial intelligence approaches T Moussa, S Elkatatny, M Mahmoud, A Abdulraheem Journal of Energy Resources Technology 140 (7), 072903, 2018 | 72 | 2018 |
| Application of artificial intelligence techniques to estimate the static Poisson's ratio based on wireline log data S Elkatatny Journal of Energy Resources Technology 140 (7), 072905, 2018 | 71 | 2018 |
| Estimation of oil recovery factor for water drive sandy reservoirs through applications of artificial intelligence AA Mahmoud, S Elkatatny, W Chen, A Abdulraheem Energies 12 (19), 3671, 2019 | 70 | 2019 |
| Development of new mathematical model for compressional and shear sonic times from wireline log data using artificial intelligence neural networks (white box) S Elkatatny, Z Tariq, M Mahmoud, I Mohamed, A Abdulraheem Arabian Journal for Science and Engineering 43 (11), 6375-6389, 2018 | 70 | 2018 |
