| Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios S Mohd Razak, B Jafarpour Computational Geosciences, 1-25, 2020 | 64* | 2020 |
| 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 (4), 2425–2442, 2022 | 29 | 2022 |
| History Matching with Generative Adversarial Networks S Mohd Razak, B Jafarpour ECMOR XVII 2020 (1), 1-17, 2020 | 18 | 2020 |
| Physics-Assisted Transfer Learning for Production Prediction in Unconventional Reservoirs J Cornelio, S Mohd Razak, A Jahandideh, Y Cho, HH Liu, R Vaidya, ... SPE/AAPG/SEG Unconventional Resources Technology Conference, 2021 | 13 | 2021 |
| Rapid production forecasting with geologically-informed auto-regressive models: Application to Volve benchmark model S Mohd Razak, B Jafarpour SPE Annual Technical Conference and Exhibition?, D041S060R004, 2020 | 13 | 2020 |
| Conditioning generative adversarial networks on nonlinear data for subsurface flow model calibration and uncertainty quantification S Mohd Razak, B Jafarpour Computational Geosciences, 1-24, 2021 | 12 | 2021 |
| 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 |
| Deep Learning for Latent Space Data Assimilation in Subsurface Flow Systems S Mohd Razak, A Jahandideh, U Djuraev, B Jafarpour SPE Journal 27 (05), 2820-2840, 2022 | 8 | 2022 |
| A Physics-Guided Deep Learning Predictive Model for Robust Production Forecasting and Diagnostics in Unconventional Wells S Mohd Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE/AAPG/SEG Unconventional Resources Technology Conference, 2021 | 8 | 2021 |
| Latent-space inversion (LSI): a deep learning framework for inverse mapping of subsurface flow data S Mohd Razak, A Jiang, B Jafarpour Computational Geosciences, 1-29, 2021 | 7* | 2021 |
| 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 |
| 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 |
| Supervised Machine-Learning for History Matching: Learning the Inverse Mapping from Low-Rank Data and Model Representations S Mohd Razak, B Jafarpour 81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019 | 3 | 2019 |
| 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 |
| Latent-Space Inversion (LSI) for Subsurface Flow Model Calibration with Physics-Informed Autoencoding S Mohd Razak, B Jafarpour AGU Fall Meeting 2020, 2020 | 1 | 2020 |
| Convolutional Neural Network for Subsurface Flow Prediction J Yu, A Jahandideh, S Mohd Razak, B Jafarpour AGU Fall Meeting Abstracts 2019, H33L-2113, 2019 | 1 | 2019 |
Behnam JafarpourProfessor of Chemical and Electrical Engineering, USCVerified email at usc.edu
