| 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 | 55 | 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 | 36 | 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 | 11 | 2020 |
| 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 | 8 | 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 | 6 | 2022 |
| 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 | 5 | 2023 |
| 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 | 4 | 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 | 4 | 2022 |
| Towards Effective Domestic Natural Gas Utilization in Nigeria EO Emmanuel, FA Yusuf, NS Caleb Int. J. Eng. Mod. Technol 4, 2504-8856, 2018 | 4 | 2018 |
| 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 | 3 | 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 | 2 | 2023 |
| 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 | 2 | 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 | | 2024 |
| Generative Artificial Intelligence for Geomodeling S Misra, J Chen, P Churilova, Y Falola International Petroleum Technology Conference, D031S128R001, 2024 | | 2024 |
| Transfer Learning for Geological Carbon Storage Forecasting Using Neural Operator A Nunez, S Misra, Y Falola Available at SSRN 4668275, 2023 | | 2023 |
| 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 |
| 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 | | 2023 |
| A DISCRETE FRACTURE NETWORK GENERATION AND ANALYSIS LIBRARY FOR USE IN CAD SOFTWARE ENVIRONMENTS Y FALOLA | | 2021 |
Siddharth MisraTexas A&M UniversityVerified email at tamu.edu
