| PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media JE Santos, D Xu, H Jo, CJ Landry, M Prodanović, MJ Pyrcz Advances in Water Resources 138, 103539, 2020 | 187 | 2020 |
| Computationally efficient multiscale neural networks applied to fluid flow in complex 3D porous media JE Santos, Y Yin, H Jo, W Pan, Q Kang, HS Viswanathan, M Prodanović, ... Transport in porous media 140 (1), 241-272, 2021 | 83 | 2021 |
| Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT H Jung, H Jo, S Kim, K Lee, J Choe Journal of Petroleum Science and Engineering 154, 19-37, 2017 | 40 | 2017 |
| Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization H Jung, H Jo, S Kim, K Lee, J Choe Journal of Petroleum Science and Engineering 167, 396-405, 2018 | 39 | 2018 |
| Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network H Jo, JE Santos, MJ Pyrcz Energy Exploration & Exploitation 38 (6), 2558-2578, 2020 | 32 | 2020 |
| Machine learning assisted history matching for a deepwater lobe system H Jo, W Pan, JE Santos, H Jung, MJ Pyrcz Journal of Petroleum Science and Engineering 207, 109086, 2021 | 30 | 2021 |
| History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information H Jo, H Jung, J Ahn, K Lee, J Choe Energy Exploration & Exploitation 35 (1), 3-23, 2017 | 29 | 2017 |
| Synthetic sonic log generation with machine learning: A contest summary from five methods Y Yu, C Xu, S Misra, W Li, M Ashby, W Pan, T Deng, H Jo, JE Santos, L Fu, ... Petrophysics 62 (04), 393-406, 2021 | 24 | 2021 |
| Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR H Tang, P Fu, H Jo, S Jiang, CS Sherman, F Hamon, NA Azzolina, ... International Journal of Greenhouse Gas Control 120, 103765, 2022 | 20 | 2022 |
| Automatic semivariogram modeling by convolutional neural network H Jo, MJ Pyrcz Mathematical Geosciences 54 (1), 177-205, 2022 | 18 | 2022 |
| Characterization of various channel fields using an initial ensemble selection scheme and covariance localization H Jung, H Jo, K Lee, J Choe Journal of Energy Resources Technology 139 (6), 062906, 2017 | 14 | 2017 |
| Determining the impact of mineralogy composition for multiphase flow through hydraulically induced fractures JE Santos, M Prodanović, CJ Landry, H Jo Unconventional Resources Technology Conference, Houston, Texas, 23-25 July …, 2018 | 11 | 2018 |
| Robust rule-based aggradational lobe reservoir models H Jo, MJ Pyrcz Natural Resources Research 29, 1193-1213, 2020 | 10 | 2020 |
| GeostatsPy python package MJ Pyrcz, H Jo, A Kupenko, W Liu, AE Gigliotti, T Salomaki, J Santos PyPI, Python Package Index, 2021 | 9 | 2021 |
| Machine-learning-based porosity estimation from multifrequency poststack seismic data H Jo, Y Cho, M Pyrcz, H Tang, P Fu Geophysics 87 (5), M217-M233, 2022 | 8 | 2022 |
| Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling W Pan, H Jo, JE Santos, C Torres-Verdín, MJ Pyrcz AAPG Bulletin 106 (11), 2163-2186, 2022 | 8 | 2022 |
| GeostatsPy Python Package, PyPI, Python Package Index MJ Pyrcz, H Jo, A Kupenko, W Liu, AE Gigliotti, T Salomaki, J Santos Univ Tex Austin, 2021 | 8 | 2021 |
| Synthetic sonic log generation with machine learning: A contest summary from five methods, Petrophysics, 62, 393–406 Y Yu, C Xu, S Misra, W Li, M Ashby, W Pan, T Deng, H Jo, JE Santos, L Fu, ... Web of Science, 2021 | 7 | 2021 |
| GeostatsPy M Pyrcz, H Jo, A Kupenko, W Liu, AE Gigliotti, T Salomaki, JE Santos GitHub, 2021 | 7 | 2021 |
| Use of channel information update and discrete cosine transform in ensemble smoother for channel reservoir characterization H Jung, H Jo, S Kim, B Kang, H Jeong, J Choe Journal of Energy Resources Technology 142 (1), 012901, 2020 | 7 | 2020 |
Michael J. PyrczProfessor, The University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证
