| 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 |
| 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 |
| Evaluating the locally sourced materials as fluid loss control additives in water-based drilling fluid AN Okon, JU Akpabio, KW Tugwell Heliyon 6 (5), 2020 | 35 | 2020 |
| PVT fluid characterization and consistency check for retrograde condensate reservoir modeling JU Akpabio, EE Udofia, M Ogbu SPE Nigeria Annual International Conference and Exhibition, SPE-172359-MS, 2014 | 24 | 2014 |
| Water coning prediction review and control: developing an integrated approach AN Okon, D Appah, J Akpabio Journal of Scientific Research and Reports 14 (4), 1-24, 2017 | 23 | 2017 |
| The effect of drilling mud density on penetration rate JU Akpabio, PN Inyang, CI Iheaka International Research Journal of Engineering and Technology (IRJET) 2 (09), 2015 | 21 | 2015 |
| 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 |
| A critical evaluation of water coning correlations in vertical wells AN Okon, D Appah, JU Akpabio American Journal of Science, Engineering and Technology 3 (1), 1-9, 2018 | 20 | 2018 |
| The use of crassostrea virginica as lost circulation material in water-based drilling mud OA Akeju, SA Akintola, JU Akpabio International Journal of Engineering and Technology 4 (2), 109-117, 2014 | 16 | 2014 |
| 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 |
| Water coning control: A comparison of downhole water sink and downhole water loop technologies AN Okon, DT Olagunju, JU Akpabio Journal of Scientific and Engineering Research 4 (12), 137-148, 2017 | 12 | 2017 |
| PVT fluid sampling, characterization and gas condensate reservoir modeling JU Akpabio, SO Isehunwa, OO Akinsete Advances in Research 5 (5), 1-11, 2015 | 11 | 2015 |
| Drilling fluid design for depleted zone drilling: An integrated review of laboratory, field, modelling and cost studies CB Orun, JU Akpabio, OE Agwu Geoenergy Science and Engineering 226, 211706, 2023 | 8 | 2023 |
| Pressure Gradient Prediction Of Multiphase Flow In Pipes. M Akintola, SA., Akpabio, JU and Onuegbu British Journal of Applied Science and Technology 4 (35), 4945-4958., 2015 | 8* | 2015 |
