Synthetic well logs generation via Recurrent Neural Networks D Zhang, C Yuntian, M Jin Petroleum Exploration and Development 45 (4), 629-639, 2018 | 247 | 2018 |
Ensemble Neural Networks (ENN): A gradient-free stochastic method Y Chen, H Chang, J Meng, D Zhang Neural Networks 110, 170-185, 2019 | 57 | 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 石油勘探与开发 4, 2018 | 31 | 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 | 23 | 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 | 12 | 2019 |
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 | 11 | 2020 |
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 | 11 | 2018 |
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 |