| Deep convolutional autoencoders for robust flow model calibration under uncertainty in geologic continuity A Jiang, B Jafarpour Water Resources Research 57 (11), e2021WR029754, 2021 | 17 | 2021 |
| Recurrent neural networks for short-term and long-term prediction of geothermal reservoirs A Jiang, Z Qin, D Faulder, TT Cladouhos, B Jafarpour Geothermics 104, 102439, 2022 | 9 | 2022 |
| Inverting subsurface flow data for geologic scenarios selection with convolutional neural networks A Jiang, B Jafarpour Advances in Water Resources 149, 103840, 2021 | 9 | 2021 |
| Latent-space inversion (LSI): a deep learning framework for inverse mapping of subsurface flow data SM Razak, A Jiang, B Jafarpour Computational Geosciences 26 (1), 71-99, 2022 | 7 | 2022 |
| A Multiscale Recurrent Neural Network Model for Long-Term Prediction of Geothermal Energy Production A Jiang, Z Qin, TT Cladouhos, D Faulder, B Jafarpour Proceedings of the 47th Workshop on Geothermal Reservoir Engineering …, 2022 | 6 | 2022 |
| Recurrent neural networks for prediction of geothermal reservoir performance A Jiang, Z Qin, TT Cladouhos, D Faulder, B Jafarpour Proceedings, 46t h workshop on geothermal reservoir engineering 46, 2021 | 6 | 2021 |
| History matching under uncertain geologic scenarios with variational autoencoders A Jiang, B Jafarpour ECMOR XVII 2020 (1), 1-14, 2020 | 5 | 2020 |
| Physics-Guided Deep Learning for Prediction of Energy Production from Geothermal Reservoirs Z Qin, A Jiang, D Faulder, TT Cladouhos, B Jafarpour Geothermics 116, 102824, 2024 | 4 | 2024 |
| Efficient optimization of energy recovery from geothermal reservoirs with recurrent neural network predictive models Z Qin, A Jiang, D Faulder, TT Cladouhos, B Jafarpour Water Resources Research 59 (3), e2022WR032653, 2023 | 3 | 2023 |
| Combining regularized convolutional neural networks with production data integration for geologic scenario selection A Jiang, B Jafarpour SPE Annual Technical Conference and Exhibition?, D031S043R005, 2019 | 3 | 2019 |
| Physics-Guided Deep Learning for Prediction of Geothermal Reservoir Performance Z Qin, A Jiang, TT Cladouhos, D Faulder, B Jafarpour | 3* | |
| A multiscale recurrent neural network model for predicting energy production from geothermal reservoirs A Jiang, Z Qin, D Faulder, TT Cladouhos, B Jafarpour Geothermics 110, 102643, 2023 | 2 | 2023 |
| Recurrent Neural Networks for Predicting the Dynamic Response of Geothermal Reservoirs from Monitoring Data A Jiang, Q Zhen, B Jafarpour, TT Cladouhos, J Zia AGU Fall Meeting Abstracts 2020, H166-0031, 2020 | 2 | 2020 |
| Variational auto-encoders for low-rank parameterization and calibration of subsurface flow models A Jiang, B Jafarpour AGU Fall Meeting Abstracts 2019, H31K-1863, 2019 | 2 | 2019 |
| Optimization of Energy Production from Geothermal Reservoirs Using Physics-Based and Data-Driven Models Z Qin, A Jiang, D Faulder, TT Cladouhos, B Jafarpour | | |
