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Meng Jin
Meng Jin
College of Engineering, Peking University
Verified email at pku.edu.cn
Title
Cited by
Cited by
Year
Synthetic well logs generation via Recurrent Neural Networks
D Zhang, C Yuntian, M Jin
Petroleum Exploration and Development 45 (4), 629-639, 2018
2462018
Ensemble Neural Networks (ENN): A gradient-free stochastic method
Y Chen, H Chang, J Meng, D Zhang
Neural Networks 110, 170-185, 2019
572019
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
312018
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
232017
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
122019
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
112020
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
112018
Logging curve generation method based on cyclic neural network
Z Dongxiao, C Yuntian, M Jin
Petroleum Exploration and Development 45 (4), 598-607, 2018
62018
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