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Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder 期刊论文
, 2020, 卷号: 142
作者:  Liu M.;  Grana D.
收藏  |  浏览/下载：27/0  |  提交时间：2020/07/28
Aquifers  Boreholes  Carbon capture  Carbon dioxide  Convolution  Digital storage  Forecasting  Geological surveys  Hydrogeology  Inverse problems  Large dataset  Offshore oil well production  Petrophysics  Porosity  Seismology  Stochastic systems  Carbon dioxide sequestration  Deep saline aquifers  Ensemble-based method  Machine learning methods  Monitoring measurements  Petro-physical characterizations  Petrophysical properties  Stochastic approach  Learning systems  accuracy assessment  aquifer  carbon dioxide  carbon sequestration  carbon storage  leakage  monitoring  permeability  physical property  porosity  precision  underground storage  
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media 期刊论文
, 2020, 卷号: 138
作者:  Santos J.E.;  Xu D.;  Jo H.;  Landry C.J.;  Prodanović M.;  Pyrcz M.J.
收藏  |  浏览/下载：27/0  |  提交时间：2020/07/28
Binary images  Convolution  Deep learning  Deep neural networks  Flow fields  Flow of fluids  Forecasting  Learning systems  Mechanical permeability  Network architecture  Porous materials  Velocity  Disruptive technology  Fluid velocity field  Geometrical informations  Machine learning models  Orders of magnitude  Spatial relationships  Subsurface formations  Surrogate model  Convolutional neural networks  artificial neural network  digital image  flow modeling  fluid flow  permeability  porous medium  prediction  rock mechanics  surrogate method  three-dimensional modeling  
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：32/0  |  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