| Synthetic well logs generation via Recurrent Neural Networks D Zhang, C Yuntian, M Jin Petroleum Exploration and Development 45 (4), 629-639, 2018 | 295 | 2018 |
| Ensemble Neural Networks (ENN): A gradient-free stochastic method Y Chen, H Chang, J Meng, D Zhang Neural Networks 110, 170-185, 2019 | 62 | 2019 |
| 基于循环神经网络的测井曲线生成方法 张东晓， 陈云天， 孟晋 Petroleum Exploration and Development 45 (4), 2018 | 36 | 2018 |
| An efficient stochastic approach for flow in porous media via sparse polynomial chaos expansion constructed by feature selection J Meng, H Li Advances in Water Resources 105, 13-28, 2017 | 24 | 2017 |
| Efficient uncertainty quantification for unconfined flow in heterogeneous media with the sparse polynomial chaos expansion J Meng, H Li Transport in Porous Media 126, 23-38, 2019 | 14 | 2019 |
| Uncertainty quantification for subsurface flow and transport: Coping with nonlinearity/irregularity via polynomial chaos surrogate and machine learning J Meng, H Li Water Resources Research 54 (10), 7733-7751, 2018 | 13 | 2018 |
| Efficient uncertainty quantification for permeability of three-dimensional porous media through image analysis and pore-scale simulations L Zhao, H Li, J Meng, D Zhang Physical Review E 102 (2), 023308, 2020 | 10 | 2020 |
| Logging curve generation method based on cyclic neural network Z Dongxiao, C Yuntian, M Jin Petroleum Exploration and Development 45 (4), 598-607, 2018 | 6 | 2018 |
| Synthetic Well Logs Generation via Recurrent Neural Networks. Pet Explor Dev 45 (4): 629–639 D Zhang, C Yuntian, M Jin | 5 | 2018 |
Yuntian ChenEastern Institute of Technology, Ningbo (EIT)Verified email at eitech.edu.cn