| 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 | 76 | 2021 |
| Stochastic pix2pix: A new machine learning method for geophysical and well conditioning of rule-based channel reservoir models W Pan, C Torres-Verdín, MJ Pyrcz Natural Resources Research 30 (2), 1319-1345, 2021 | 46 | 2021 |
| 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 | 29 | 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 | 27* | 2021 |
| Automatic history matching of multistage fractured shale gas reservoir constrained by microseismic data Q Liu, L Xue, J Sarout, Q Lin, W Pan, Y Liu, R Feng Journal of Petroleum Science and Engineering 213, 110357, 2022 | 10 | 2022 |
| Improving multiwell petrophysical interpretation from well logs via machine learning and statistical models W Pan, C Torres-Verdín, IJ Duncan, MJ Pyrcz Geophysics 88 (2), D159-D175, 2023 | 8* | 2023 |
| 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 |
| Efficient subsurface modeling with sequential patch generative adversarial neural networks W Pan, J Chen, S Mohamed, H Jo, JE Santos, MJ Pyrcz SPE Annual Technical Conference and Exhibition?, D021S028R002, 2023 | 4 | 2023 |
| AUTO Channel: AI-driven Automatic Channel Scalar Correction C Sutton, Y Sang, W Pan, P Webster, J Chen, M Sidahmed Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-4, 2023 | 3 | 2023 |
| Best practices in automatic permeability estimation: machine-learning methods vs. conventional petrophysical models O Raheem, W Pan, C Torres-Verdín, MM Morales SPWLA Annual Logging Symposium, D041S015R001, 2023 | 2 | 2023 |
| Well-Log-Based Reservoir Property Estimation With Machine Learning: A Contest Summary L Fu, Y Yu, C Xu, M Ashby, A McDonald, W Pan, T Deng, I Szabó, ... Petrophysics 65 (01), 108-127, 2024 | 1 | 2024 |
| Comparison of commingled and sequential production schemes by sensitivity analysis for Gulf of Mexico Paleogene Deepwater turbidite oil fields: A simulation study E Rustamzade, W Pan, JT Foster, M Pyrcz Energy Exploration & Exploitation 41 (6), 2078-2100, 2023 | 1 | 2023 |
| Reservoir description via statistical and machine-learning approaches W Pan | 1 | 2022 |
| New Machine Learning Method for Integrated Subsurface Modeling W Pan, C Torres-Verdin, M Pyrcz Earth and Space Science Open Archive ESSOAr, 2020 | 1 | 2020 |
Michael J. PyrczProfessor, The University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证
