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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：28/0  |  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  
Two-phase flow of CO2-brine in a heterogeneous sandstone: Characterization of the rock and comparison of the lattice-Boltzmann, pore-network, and direct numerical simulation methods 期刊论文
, 2020, 卷号: 135
作者:  Kohanpur A.H.;  Rahromostaqim M.;  Valocchi A.J.;  Sahimi M.
收藏  |  浏览/下载：38/0  |  提交时间：2020/07/28
Carbon dioxide  Computational efficiency  Direct numerical simulation  Enhanced recovery  Finite volume method  Injection (oil wells)  Internet protocols  Morphology  Numerical methods  Numerical models  Petroleum reservoir engineering  Porous materials  Sandstone  Computational resources  Enhanced oil recovery  Flow charac-teristics  Hydrocarbon reservoir  Quantities of interests  Relative permeability  Sequestration process  Three dimensional images  Two phase flow  brine  carbon sequestration  comparative study  fluid injection  lattice dynamics  numerical method  porosity  sandstone  source rock  two phase flow