The complicated flow behaviors of multiphase fluids in shale reservoirs are significantly
influenced by fluid-fluid and fluid-rock interactions due to the non-negligible intermolecular …

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 …

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 …

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 …

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 …

Hydrocarbons in subsurface nanoporous media, such as shale, are promising energy
resources to compensate for the shortage of conventional reservoirs. Pore-network …

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 …

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 …

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 …

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 …