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Comparison of various 3D pore space reconstruction methods and implications on transport properties of nanoporous rocks 期刊论文
, 2020, 卷号: 141
作者:  Tinet A.-J.;  Corlay Q.;  Collon P.;  Golfier F.;  Kalo K.
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/28
Digital storage  Flow of fluids  Image reconstruction  Nanopores  Radioactive waste transportation  Stochastic systems  Underground gas storage  Volume rendering  3d volume renderings  Effective diffusion  Euler characteristic  Longitudinal dispersions  Morphological features  Multiple-point statistics  Stochastic reconstruction  Transfer mechanisms  Transport properties  comparative study  connectivity  fluid flow  permeability  pore space  reconstruction  rock mechanics  topology  transport process  
Bar pattern and sediment sorting in a channel contraction/expansion area: Application to the Loire River at Bréhémont (France) 期刊论文
, 2020, 卷号: 140
作者:  Cordier F.;  Tassi P.;  Claude N.;  Crosato A.;  Rodrigues S.;  Pham Van Bang D.
收藏  |  浏览/下载：33/0  |  提交时间：2020/07/28
Rivers  2D numerical models  Channel expansions  Longitudinal width  Numerical results  Sediment deposits  Sediment mobility  Surface sediments  Water discharges  Sediments  fluvial deposit  gravel  mobility  morphodynamics  numerical model  river bed  river channel  sediment transport  sorting  France  Loire River  
Seeing macro-dispersivity from hydraulic conductivity field with convolutional neural network 期刊论文
, 2020, 卷号: 138
作者:  Zhou Z.;  Shi L.;  Zha Y.
收藏  |  浏览/下载：28/0  |  提交时间：2020/07/28
Convolution  Deep learning  Deep neural networks  Groundwater  Groundwater pollution  Hydraulic conductivity  Learning algorithms  Learning systems  Porous materials  Solute transport  Contaminant transport  Convolutional neural work  Groundwater environment  Heterogeneity  Macrodispersivity  Quantitative relations  Spatial heterogeneity  Trained neural networks  Convolutional neural networks  algorithm  artificial neural network  computer simulation  groundwater  heterogeneity  hydraulic conductivity  machine learning