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A benchmark study of the multiscale and homogenization methods for fully implicit multiphase flow simulations 期刊论文
, 2020, 卷号: 143
作者:  Hajibeygi H.;  Olivares M.B.;  HosseiniMehr M.;  Pop S.;  Wheeler M.
收藏  |  浏览/下载：26/0  |  提交时间：2020/07/28
Benchmarking  Flow simulation  Functions  Homogenization method  Multiphase flow  Porous materials  Algebraic dynamics  Effective parameters  Geological formation  Implicit simulations  Local basis functions  Permeability fields  Posteriori error control  Subsurface formations  Algebra  benchmarking  comparative study  computer simulation  error analysis  finite element method  finite volume method  multiphase flow  parallel computing  permeability  porous medium  qualitative analysis  software  
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