| 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 | 177 | 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, 1-32, 2021 | 76 | 2021 |
| Modeling nanoconfinement effects using active learning JE Santos, M Mehana, H Wu, M Prodanovic, Q Kang, N Lubbers, ... The Journal of Physical Chemistry C 124 (40), 22200-22211, 2020 | 39 | 2020 |
| MudrockNet: Semantic segmentation of mudrock SEM images through deep learning A Bihani, H Daigle, JE Santos, C Landry, M Prodanović, K Milliken Computers & Geosciences 158, 104952, 2022 | 34 | 2022 |
| 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 | 31 | 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 | 28 | 2021 |
| 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 | 23 | 2021 |
| Two‐phase fluid flow properties of rough fractures with heterogeneous wettability: Analysis with lattice Boltzmann simulations EJ Guiltinan, JE Santos, MB Cardenas, DN Espinoza, Q Kang Water Resources Research 57 (1), e2020WR027943, 2021 | 23 | 2021 |
| Prediction of local concentration fields in porous media with chemical reaction using a multi scale convolutional neural network A Marcato, JE Santos, G Boccardo, H Viswanathan, D Marchisio, ... Chemical Engineering Journal 455, 140367, 2023 | 18 | 2023 |
| MPLBM-UT: Multiphase LBM library for permeable media analysis JE Santos, A Gigliotti, A Bihani, C Landry, MA Hesse, MJ Pyrcz, ... SoftwareX 18, 101097, 2022 | 14 | 2022 |
| A deep learning approach to identify and segment alpha-smooth muscle actin stress fiber positive cells A Hillsley, JE Santos, AM Rosales Scientific Reports 11 (1), 21855, 2021 | 11 | 2021 |
| 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 |
| Residual saturation during multiphase displacement in heterogeneous fractures with novel deep learning prediction E Guiltinan, JE Santos, Q Kang Unconventional Resources Technology Conference, 20–22 July 2020, 3147-3152, 2020 | 10 | 2020 |
| A dataset of 3D structural and simulated transport properties of complex porous media JE Santos, B Chang, A Gigliotti, Y Yin, W Song, M Prodanović, Q Kang, ... Scientific Data 9 (1), 579, 2022 | 9 | 2022 |
| 3D Dataset of binary images: A collection of synthetically created digital rock images of complex media JE Santos, MJ Pyrcz, M Prodanović Data in Brief 40, 107797, 2022 | 9 | 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 | 8 | 2021 |
| Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces JE Santos, ZR Fox, N Lubbers, YT Lin ICML 2023, 2023 | 7 | 2023 |
| Shale fundamentals: Experimental and modeling insights M Mehana, JE Santos, C Neil, JW Carey, G Guthrie, J Hyman, Q Kang, ... Energy Reports 8, 11192-11205, 2022 | 7 | 2022 |
| GeostatsPy python package MJ Pyrcz, H Jo, A Kupenko, W Liu, AE Gigliotti, T Salomaki, J Santos PyPI, Python Package Index, 2021 | 7 | 2021 |
Masa ProdanovicProfessor, The University of Texas at Austin在 utexas.edu 的电子邮件经过验证
