| Transfer learning with recurrent neural networks for long-term production forecasting in unconventional reservoirs S Mohd Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour Spe Journal 27 (04), 2425-2442, 2022 | 29 | 2022 |
| Physics-assisted transfer learning for production prediction in unconventional reservoirs J Cornelio, SM Razak, A Jahandideh, Y Cho, HH Liu, R Vaidya, ... Unconventional Resources Technology Conference, 26–28 July 2021, 3669-3682, 2021 | 13 | 2021 |
| CFD analysis of a flat plate solar collector for improvement in thermal performance with geometric treatment of absorber tube KV Karanth, JA Cornelio International Journal of Applied Engineering Research 12 (14), 4415-4421, 2017 | 11 | 2017 |
| Residual learning to integrate neural network and physics-based models for improved production prediction in unconventional reservoirs J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Journal 27 (06), 3328-3350, 2022 | 10 | 2022 |
| A physics-guided deep learning predictive model for robust production forecasting and diagnostics in unconventional wells SM Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour Unconventional Resources Technology Conference, 26–28 July 2021, 1843-1850, 2021 | 8 | 2021 |
| A Machine Learning Approach for Predicting Rock Brittleness from Conventional Well Logs J Cornelio, I Ershaghi SPE Eastern Regional Meeting, D021S004R001, 2019 | 7 | 2019 |
| Embedding physical flow functions into deep learning predictive models for improved production forecasting SM Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour Unconventional Resources Technology Conference, 20–22 June 2022, 2098-2117, 2022 | 6 | 2022 |
| Integrating deep learning and physics-based models for improved production prediction in unconventional reservoirs S Mohd Razak, J Cornelio, A Jahandideh, B Jafarpour, Y Cho, HH Liu, ... SPE Middle East Oil and Gas Show and Conference, D031S031R003, 2021 | 6 | 2021 |
| Numerical Analysis of The Effect of Nozzle Geometry on Flow Parameters in Abrasive Water Jet Machines. D Deepak, JAQ Cornelio, MM Abraham, US Prasad Pertanika Journal of Science & Technology 25 (2), 2017 | 6 | 2017 |
| Investigating transfer learning for characterization and performance prediction in unconventional reservoirs J Cornelio, S Mohd Razak, A Jahandideh, B Jafarpour, Y Cho, HH Liu, ... SPE Middle East Oil and Gas Show and Conference, D031S031R007, 2021 | 4 | 2021 |
| Physics-guided deep learning for improved production forecasting in unconventional reservoirs S Razak, J Cornelio, Y Cho, H Liu, R Vaidya, B Jafarpour SPE Journal, 1-23, 2023 | 3 | 2023 |
| Transfer Learning with Prior Data-Driven Models from Multiple Unconventional Fields J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Journal 28 (05), 2385-2414, 2023 | 1 | 2023 |
| Neural Network-Assisted Clustering for Improved Production Predictions in Unconventional Reservoirs J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Western Regional Meeting, D021S004R001, 2023 | 1 | 2023 |
| Transfer learning with multiple aggregated source models in unconventional reservoirs J Cornelio, SM Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour Unconventional Resources Technology Conference, 20–22 June 2022, 2192-2211, 2022 | 1 | 2022 |
| Predicting well performance using neural networks LIU Hui-Hai, JJ Zhang, J Cornelio, S Mohd-Razak US Patent App. 17/664,961, 2023 | | 2023 |
| Dynamic Physics-Guided Deep Learning for Production Forecasting in Unconventional Reservoirs S Mohd Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Western Regional Meeting, D021S004R002, 2023 | | 2023 |
| Identifying and Ranking Multiple Source Models for Transfer Learning in Unconventional Reservoirs. J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Middle East Oil and Gas Show and Conference, D021S084R003, 2023 | | 2023 |
| A Dynamic Residual Learning Approach to Improve Physics-Constrained Neural Network Predictions in Unconventional Reservoirs S Mohd Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Middle East Oil and Gas Show and Conference, D021S084R005, 2023 | | 2023 |
Syamil Mohd RazakApplied Machine Learning Scientist, AmazonVerified email at amazon.com
