| Application of Artificial Intelligence-based predictive methods in Ionic liquid studies: A review F Yusuf, T Olayiwola, C Afagwu Fluid Phase Equilibria 531, 112898, 2021 | 66 | 2021 |
| Enhanced recovery from organic-rich shales through carbon dioxide injection: Molecular-level investigation S Alafnan, Y Falola, O Al Mansour, K AlSamadony, A Awotunde, ... Energy & Fuels 34 (12), 16089-16098, 2020 | 40 | 2020 |
| Modeling the acentric factor of binary and ternary mixtures of ionic liquids using advanced intelligent systems T Olayiwola, O Ogolo, F Yusuf Fluid Phase Equilibria 516, 112587, 2020 | 14 | 2020 |
| A machine learning approach for gas kick identification CE Obi, Y Falola, K Manikonda, AR Hasan, IG Hassan, MA Rahman SPE Drilling & Completion 38 (04), 663-681, 2023 | 10 | 2023 |
| Rapid High-Fidelity Forecasting for Geological Carbon Storage Using Neural Operator and Transfer Learning Y Falola, S Misra, AC Nunez Abu Dhabi International Petroleum Exhibition and Conference, D011S020R003, 2023 | 10 | 2023 |
| Massive Geomodel Compression and Rapid Geomodel Generation Using Advanced Autoencoders and Autoregressive Neural Networks S Misra, J Chen, Y Falola, P Churilova, CK Huang, J Delgado SPE EuropEC-Europe Energy Conference featured at the 84th EAGE Annual …, 2023 | 10 | 2023 |
| A machine learning analysis to relate flow pattern and pressure gradient during gas kicks under static conditions CE Obi, Y Falola, K Manikonda, AR Hasan, MA Rahman SPE Western Regional Meeting, D011S006R002, 2022 | 10 | 2022 |
| Deep learning assisted extremely low-dimensional representation of subsurface earth S Misra, Y Falola, P Churilova, R Liu, CK Huang, JF Delgado Available at SSRN 4196705, 2022 | 8 | 2022 |
| Flow Pattern, Pressure Gradient Relationship of Gas Kick Under Dynamic Conditions CE Obi, Y Falola, K Manikonda, AR Hasan, MA Rahman Offshore Technology Conference, D041S053R006, 2022 | 7 | 2022 |
| Data-driven workflow for the preemptive detection of excess water producing wells drilled in unconventional shales Y Falola, S Misra, J Foster, M Bhatia Journal of Natural Gas Science and Engineering 103, 104609, 2022 | 6 | 2022 |
| Preemptive detection of high water-cut wells in Delaware basin using a joint unsupervised and supervised learning approach J Foster, S Misra, Y Falola, M Bhatia Gas Science and Engineering 112, 204944, 2023 | 4 | 2023 |
| Towards Effective Domestic Natural Gas Utilisation in Nigeria EO Emmanuel, FA Yusuf, NS Caleb Int. J. Eng. Mod. Technol 4, 2504-8856, 2018 | 4 | 2018 |
| Preemptive Detection of High Water-Cut Wells in Delaware Basin using a Joint Unsupervised and Supervised Learning Approach J Foster, S Misra, Y Falola, M Bhatia Authorea Preprints, 2022 | 3 | 2022 |
| Application of Neural Operator Technique for Rapid Forecast of CO2 Pressure and Saturation Distribution Y Falola, PS Rathore, GG Nair, J Toms Offshore Technology Conference, D041S049R007, 2024 | 2 | 2024 |
| Generative Artificial Intelligence for Geomodeling S Misra, J Chen, P Churilova, Y Falola International Petroleum Technology Conference, D031S128R001, 2024 | 2 | 2024 |
| Transfer learning for geological carbon storage forecasting using neural operator A Nunez, S Misra, Y Falola Available at SSRN 4671241, 2023 | 2 | 2023 |
| Generating extremely low-dimensional representation of subsurface earth models using vector quantization and deep Autoencoder Y Falola, P Churilova, R Liu, CK Huang, JF Delgado, S Misra Petroleum Research, 2024 | 1 | 2024 |
| Integrating Neural Operators and Transfer Learning for Efficient Carbon Storage Forecasting Y Falola, S Misra, A Nunez Abu Dhabi International Petroleum Exhibition and Conference, D021S062R005, 2024 | | 2024 |
| Rapid Forecasting of CO2 Plume Migration in Varied Geological and Engineering Scenarios Utilizing Transfer Learning S Masra, Y Falola, AC Nunez National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2023 | | 2023 |
| A DISCRETE FRACTURE NETWORK GENERATION AND ANALYSIS LIBRARY FOR USE IN CAD SOFTWARE ENVIRONMENTS Y FALOLA | | 2021 |
Siddharth MisraTexas A&M UniversityZweryfikowany adres z tamu.edu