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Pore structure characterization through path-finding and Lattice Boltzmann simulation 期刊论文
, 2020, 卷号: 141
作者:  Viberti D.;  Peter C.;  Salina Borello E.;  Panini F.
收藏  |  浏览/下载：16/0  |  提交时间：2020/07/28
Binary images  Geometry  Graph algorithms  Graph theory  Numerical methods  Pore size  Effective pore radius  Geological formation  Geometrical analysis  Lattice boltzmann methods (LBM)  Lattice Boltzmann simulations  Path-finding algorithms  Pore network geometry  Pore structure characterizations  Pore structure  algorithm  computer simulation  flow field  hydrodynamics  model test  model validation  numerical model  pore pressure  porosity  porous medium  theoretical study  tortuosity  
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