| Machine learning in subsurface geothermal energy: Two decades in review ER Okoroafor, CM Smith, KI Ochie, CJ Nwosu, H Gudmundsdottir, ... Geothermics 102, 102401, 2022 | 66 | 2022 |
| Recent Trends in Artificial Intelligence for Subsurface Geothermal Applications J Aljubran, C Nwosu, E Okoroafor, C Smith, H Gudmundsdottir 47th Workshop on Geothermal Reservoir Engineering Stanford University …, 2022 | 5 | 2022 |
| Determination of Compressibility Factor for Natural Gases Using Artificial Neural Network. CJ Nwosu, SU Ibeh, SI Onwukwe, BO Obah Petroleum & Coal 60 (6), 2018 | 5 | 2018 |
| Assessment of Aquifer Susceptibility using Artificial Intelligence: A Case Study of the Warri-Sombreiro Deposits, Niger Delta EP Ojoboh, KI Ochie, CJ Nwosu SPE Nigeria Annual International Conference and Exhibition, D013S004R019, 2020 | 4 | 2020 |
| Prediction of Thermal Conductivity of Rocks in Geothermal Field Using Machine Learning Methods: a Comparative Approach PU Ekeopara, CJ Nwosu, FM Kelechi, CP Nwadiaro, KK ThankGod SPE Nigeria Annual International Conference and Exhibition, D032S028R002, 2023 | 1 | 2023 |
| Experimental Investigation of a Novel Working Fluid for Heat Extraction In Geothermal Wells C Nwosu | | 2023 |
| A Hybrid Ensemble Machine Learning Algorithm for Lost Circulation Prediction in Geothermal Exploration C Nwosu, S Salehi 2022 Geothermal Rising Conference, 2022 | | 2022 |
| A Metaheuristic Approach for Geothermal Drilling Optimization using a Real Time Machine Learning Feedback Loop System C Nwosu, E Ugarte, D Tetteh, S Salehi 2022 Geothermal Rising Conference, 2022 | | 2022 |
Rita Esuru OkoroaforTexas A&MVerified email at tamu.edu
