| Prediction of methane adsorption in shale: Classical models and machine learning based models M Meng, R Zhong, Z Wei Fuel 278, 118358, 2020 | 84 | 2020 |
| Characterizing rock facies using machine learning algorithm based on a convolutional neural network and data padding strategy Z Wei, H Hu, H Zhou, A Lau Pure and Applied Geophysics 176, 3593-3605, 2019 | 31 | 2019 |
| Analysis of seismic attributes to assist in the classification of salt by multi-channel convolutional neural networks F Jiang, P Norlund, Z Wei First EAGE Digitalization Conference and Exhibition 2020 (1), 1-5, 2020 | 8 | 2020 |
| Facilitating hydrocarbon exploration and extraction by applying a machine-learning model to seismic data PN WEI Zhili, Meng Meng, Fan Jiang, Youli Mao US Patent 11,428,835, 2022 | 5 | 2022 |
| Joint inversion for microseismic event positions and velocity structures by combining multiscale deformable-layer tomography and master station earthquake location method Z Wei, Y Zheng, HW Zhou, H Hao, A Lau SEG International Exposition and Annual Meeting, SEG-2016-13969412, 2016 | 1 | 2016 |
| Rock Facies Characterization Using Machine Learning Algorithms Z Wei University of Houston, 2019 | | 2019 |
| SEG Technical Program–UH Oral and Poster Presentations Z Wei, Y Zheng, HW Zhou, H Hao, A Lau, E De Abreu, J Castagna, ... | | |
Hua-wei ZhouUniversity of Houston在 uh.edu 的电子邮件经过验证
Hua-wei ZhouUniversity of Houston在 uh.edu 的电子邮件经过验证
Meng MengLos Alamos National Laboratory在 lanl.gov 的电子邮件经过验证
Hao HuTGS, University of Houston在 uh.edu 的电子邮件经过验证
Yingcai ZhengUniversity of Houston在 uh.edu 的电子邮件经过验证