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Carbonate rocks: Matrix permeability estimation 期刊论文
, 2020, 卷号: 104, 期号: 1
作者:  Cardona A.;  Santamarina J.C.
收藏  |  浏览/下载：40/0  |  提交时间：2020/07/28
Carbonates  Matrix algebra  Mercury (metal)  Pore size  Proven reserves  Sedimentary rocks  Size distribution  Uncertainty analysis  Data interpretation  Degree of uncertainty  Interconnected pores  Kozeny-Carman model  Matrix permeability  Mercury porosimetry  Permeability estimation  Prediction uncertainty  Distributed database systems  carbonate rock  data interpretation  depositional environment  diagenesis  estimation method  experimental study  hydrocarbon reservoir  permeability  pore space  porosity  size distribution  topology  uncertainty analysis  
Permeability estimation on tomographic images using curved boundary schemes in the lattice Boltzmann method 期刊论文
, 2020, 卷号: 143
作者:  Rao P.;  Schaefer L.
收藏  |  浏览/下载：37/0  |  提交时间：2020/07/28
Kinetic theory  Mesh generation  Numerical methods  Porous materials  Tomography  Lattice Boltzmann method  Lattice boltzmann methods (LBM)  Marching Cubes algorithm  Permeability estimation  Permeability prediction  Pore-scale simulation  Single- and two-phase flow  Surface mesh generation  Two phase flow  
Validity of triple-effect model for fluid flow in mismatched, self-affine fractures 期刊论文
, 2020, 卷号: 140
作者:  Zheng J.;  Jin Y.;  Liu X.;  Wang C.;  Liu X.
收藏  |  浏览/下载：37/0  |  提交时间：2020/07/28
Fracture  Numerical methods  Numerical models  Surface roughness  Topography  Aperture distribution  Fracture permeability  Hydrodynamic problems  Lattice boltzmann methods (LBM)  Mis-matched composites  Permeability prediction  Self-affine profiles  Surface geometries  Flow of fluids  fluid flow  fracture  hydrodynamics  permeability  surface roughness  tortuosity  
Predicting transport characteristics of hyperuniform porous media via rigorous microstructure-property relations 期刊论文
, 2020, 卷号: 140
作者:  Torquato S.
收藏  |  浏览/下载：21/0  |  提交时间：2020/07/28
Approximation algorithms  Differential equations  Diffusion in liquids  Estimation  Forecasting  Microstructure  Porous materials  Relaxation time  Spectral density  Velocity  Approximate formulas  Fluid saturated porous media  Homogenization theory  Micro-structural characteristics  Microstructural information  Microstructure-property relation  Permeability prediction  Transport characteristics  Transport properties  flow modeling  fluid flow  microstructure  numerical model  permeability  porous medium  solute transport  
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