| 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 | 175 | 2017 |
| Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines F Anifowose, J Labadin, A Abdulraheem Applied Soft Computing 26, 483-496, 2015 | 138 | 2015 |
| Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization F Anifowose, A Abdulraheem Journal of Natural Gas Science and Engineering 3 (3), 505-517, 2011 | 137 | 2011 |
| Prediction of rock mechanical parameters for hydrocarbon reservoirs using different artificial intelligence techniques A Abdulraheem, M Ahmed, A Vantala, T Parvez SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2009 | 117 | 2009 |
| 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 | 116 | 2018 |
| Analysis of wellbore instability in vertical, directional, and horizontal wells using field data MA Mohiuddin, K Khan, A Abdulraheem, A Al-Majed, MR Awal Journal of petroleum Science and Engineering 55 (1-2), 83-92, 2007 | 107 | 2007 |
| Ensemble machine learning: An untapped modeling paradigm for petroleum reservoir characterization FA Anifowose, J Labadin, A Abdulraheem Journal of Petroleum Science and Engineering 151, 480-487, 2017 | 105 | 2017 |
| Estimation of permeability from wireline logs in a middle eastern carbonate reservoir using fuzzy logic A Abdulraheem, E Sabakhy, M Ahmed, A Vantala, I Raharja, G Korvin SPE middle east oil and gas show and conference, SPE-105350-MS, 2007 | 104 | 2007 |
| 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 | 89 | 2017 |
| A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir KO Akande, TO Owolabi, SO Olatunji, AA AbdulRaheem Journal of Petroleum Science and Engineering 150, 43-53, 2017 | 81 | 2017 |
| 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 | 78 | 2018 |
| 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 | 76 | 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 | 72 | 2016 |
| 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 | 70 | 2018 |
| Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir EA El-Sebakhy, O Asparouhov, AA Abdulraheem, AA Al-Majed, D Wu, ... Expert Systems with Applications 39 (12), 10359-10375, 2012 | 69 | 2012 |
| A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction SO Olatunji, A Selamat, A Abdulraheem Information fusion 16, 29-45, 2014 | 68 | 2014 |
| 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, 6375-6389, 2018 | 67 | 2018 |
| A new technique to develop rock strength correlation using artificial intelligence tools Z Tariq, S Elkatatny, M Mahmoud, AZ Ali, A Abdulraheem SPE Reservoir Characterisation and Simulation Conference and Exhibition, 2017 | 67 | 2017 |
| 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 | 66 | 2019 |
| Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems SO Olatunji, A Selamat, A Abdulraheem Computers in industry 62 (2), 147-163, 2011 | 66 | 2011 |
Mohamed A. MahmoudKFUPMVerified email at kfupm.edu.sa
