| Application of artificial intelligence in predicting the dynamics of bottom hole pressure for under-balanced drilling: Extra tree compared with feed forward neural network model EE Okoro, T Obomanu, SE Sanni, DI Olatunji, P Igbinedion Petroleum 8 (2), 227-236, 2022 | 35 | 2022 |
| Artificial intelligence model for predicting geomechanical characteristics using easy-to-acquire offset logs without deploying logging tools TF Ogunkunle, EE Okoro, OJ Rotimi, P Igbinedion, DI Olatunji Petroleum 8 (2), 192-203, 2022 | 10 | 2022 |
| Artificial bee colony ABC a potential for optimizing well placement–a review EE Okoro, OE Agwu, D Olatunji, OD Orodu SPE Nigeria Annual International Conference and Exhibition, D023S009R002, 2019 | 9 | 2019 |
| Numerical Based Optimization for Natural Gas Dehydration and Glycol Regeneration EE Okoro, SE Sanni, DI Olatunji, P Igbinedion, B Oni, OD Orodu SPE Nigeria Annual International Conference and Exhibition, D013S006R031, 2020 | 2 | 2020 |
| Machine learning model for constant volume depletion prediction of the Niger Delta condensate systems A Fadairo, D Olatunji, K Ling, V Rasouli, G Adeyemi, O Gbadamosi Petroleum Science and Technology, 1-21, 2023 | | 2023 |
