| Artificial intelligence techniques and their applications in drilling fluid engineering: A review OE Agwu, JU Akpabio, SB Alabi, A Dosunmu Journal of Petroleum Science and Engineering 167, 300-315, 2018 | 180 | 2018 |
| A critical review of drilling mud rheological models OE Agwu, JU Akpabio, ME Ekpenyong, UG Inyang, DE Asuquo, IJ Eyoh, ... Journal of petroleum science and engineering 203, 108659, 2021 | 103 | 2021 |
| A Comparative Study of Diesel Oil and Soybean Oil as Oil‐Based Drilling Mud OE Agwu, AN Okon, FD Udoh Journal of Petroleum Engineering 2015 (1), 828451, 2015 | 98 | 2015 |
| Using agro-waste materials as possible filter loss control agents in drilling muds: A review OE Agwu, JU Akpabio Journal of Petroleum Science and Engineering 163, 185-198, 2018 | 81 | 2018 |
| Settling velocity of drill cuttings in drilling fluids: A review of experimental, numerical simulations and artificial intelligence studies OE Agwu, JU Akpabio, SB Alabi, A Dosunmu Powder technology 339, 728-746, 2018 | 63 | 2018 |
| A comprehensive review of laboratory, field and modelling studies on drilling mud rheology in high temperature high pressure (HTHP) conditions OE Agwu, JU Akpabio, ME Ekpenyong, UG Inyang, DE Asuquo, IJ Eyoh, ... Journal of Natural Gas Science and Engineering 94, 104046, 2021 | 55 | 2021 |
| Artificial neural network model for predicting the density of oil-based muds in high-temperature, high-pressure wells OE Agwu, JU Akpabio, A Dosunmu Journal of Petroleum Exploration and Production Technology 10, 1081-1095, 2020 | 49 | 2020 |
| Artificial neural network model for predicting drill cuttings settling velocity OE Agwu, JU Akpabio, A Dosunmu Petroleum 6 (4), 340-352, 2020 | 41 | 2020 |
| Rice husk and saw dust as filter loss control agents for water-based muds OE Agwu, JU Akpabio, GW Archibong Heliyon 5 (7), 2019 | 40 | 2019 |
| Evaluation of the cuttings carrying capacity of a formulated synthetic-based drilling mud AN Okon, OE Agwu, FD Udoh SPE Nigeria Annual International Conference and Exhibition, SPE-178263-MS, 2015 | 23 | 2015 |
| Cost benefit analysis of vegetable oils used as alternatives to diesel in the formulation of oil-based drilling muds OE Agwu, IA Isemin, MG Akpabio SPE Nigeria annual international conference and exhibition, SPE-178265-MS, 2015 | 23 | 2015 |
| Modelling oil and gas flow rate through chokes: A critical review of extant models OE Agwu, EE Okoro, SE Sanni Journal of Petroleum Science and Engineering 208, 109775, 2022 | 22 | 2022 |
| Potentials of waste seashells as additives in drilling muds and in oil well cements OE Agwu, JU Akpabio, MG Akpabio Cleaner Engineering and Technology 1, 100008, 2020 | 20 | 2020 |
| Activation of local bentonitic clays for use as viscosifiers in water-based drilling fluids O Agwu, A Okon, O Akpanika Journal of Scientific Research and Reports 12 (2), 1-11, 2016 | 16 | 2016 |
| A review of Nigerian bentonitic clays as drilling mud OE Agwu, AN Okon, FD Udoh SPE Nigeria annual international conference and exhibition, SPE-178264-MS, 2015 | 14 | 2015 |
| Modeling the downhole density of drilling muds using multigene genetic programming OE Agwu, JU Akpabio, A Dosunmu Upstream Oil and Gas Technology 6, 100030, 2021 | 13 | 2021 |
| Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps OE Agwu, A Alkouh, S Alatefi, RA Azim, R Ferhadi Journal of Petroleum Exploration and Production Technology 14 (5), 1205-1233, 2024 | 12 | 2024 |
| Experimental Analysis of Persea americana as Filtration Loss Control Additive for Non-Aqueous Drilling Fluid KC Igwilo, EE Okoro, O Agwu, C Onedibe, SI Ibeneme, N Okoli International Journal of Engineering Research in Africa 44, 8-21, 2019 | 12 | 2019 |
| 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 | 11 | 2019 |
| Evaluation of influential parameters for supersonic dehydration of natural gas: machine learning approach EE Okoro, U Igbinedion, V Aimikhe, SE Sanni, OE Agwu Petroleum Research 7 (3), 372-383, 2022 | 10 | 2022 |