Pore-scale modeling of complex transport phenomena in porous media
Porous media play important roles in a wide range of scientific and engineering problems.
Recently, with their increasing application in energy conversion and storage devices, such …
Recently, with their increasing application in energy conversion and storage devices, such …
Deep learning in pore scale imaging and modeling
Pore-scale imaging and modeling has advanced greatly through the integration of Deep
Learning into the workflow, from image processing to simulating physical processes. In …
Learning into the workflow, from image processing to simulating physical processes. In …
Modeling of multi-scale transport phenomena in shale gas production—a critical review
Shale gas, although unconventional, is a prospective clean energy source. Shale gas
production is a complex multi-scale process with its spatial size ranging from the nanoscale …
production is a complex multi-scale process with its spatial size ranging from the nanoscale …
Transport of shale gas in microporous/nanoporous media: molecular to pore-scale simulations
As the typical unconventional reservoir, shale gas is believed to be the most promising
alternative for the conventional resources in future energy patterns, attracting more and …
alternative for the conventional resources in future energy patterns, attracting more and …
Pore-network modeling of flow in shale nanopores: Network structure, flow principles, and computational algorithms
Hydrocarbons in subsurface nanoporous media, such as shale, are promising energy
resources to compensate for the shortage of conventional reservoirs. Pore-network …
resources to compensate for the shortage of conventional reservoirs. Pore-network …
Molecular dynamics simulations of oil transport through inorganic nanopores in shale
S Wang, F Javadpour, Q Feng - Fuel, 2016 - Elsevier
Understanding the transport of liquid hydrocarbon through nanopores of inorganic minerals
is crucial not only to develop liquid-rich shale reservoirs, but also to grasp oil migration from …
is crucial not only to develop liquid-rich shale reservoirs, but also to grasp oil migration from …
Predicting effective diffusivity of porous media from images by deep learning
We report the application of machine learning methods for predicting the effective diffusivity
(D e) of two-dimensional porous media from images of their structures. Pore structures are …
(D e) of two-dimensional porous media from images of their structures. Pore structures are …
Fast mass transport of oil and supercritical carbon dioxide through organic nanopores in shale
S Wang, F Javadpour, Q Feng - Fuel, 2016 - Elsevier
Hydrocarbon production from shale has grown dramatically in North America, and has the
potential to do so globally. Nanoporous organic matter is probably the dominant mode of …
potential to do so globally. Nanoporous organic matter is probably the dominant mode of …
Hybrid pore-network and lattice-Boltzmann permeability modelling accelerated by machine learning
In this paper, a permeability calculation workflow is presented that couples pore network
modeling (PNM) with a Lattice Boltzmann Method (LBM) to benefit from the strengths of both …
modeling (PNM) with a Lattice Boltzmann Method (LBM) to benefit from the strengths of both …
3D multi-scale reconstruction of fractured shale and influence of fracture morphology on shale gas flow
P Hou, X Liang, Y Zhang, J He, F Gao, J Liu - Natural Resources Research, 2021 - Springer
Quantitative characterization of shale gas flow in fractured shale is a key problem in shale
gas extraction. In this study, 3D multi-scale structures in fractured shale were reconstructed …
gas extraction. In this study, 3D multi-scale structures in fractured shale were reconstructed …