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 …

Automated Mineralogy (AM) is a semi-automatic mineralogical tool based on a scanning
electron micrography-energy dispersion spectrometry (SEM‒EDS) platform. It has the …

Proton exchange membrane fuel cells, consuming hydrogen and oxygen to generate clean
electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is …

The establishment of digital images of cores with multi-mineral components holds the
premise of analyzing the spatial distribution of shale minerals and carrying out numerical …

Wettability is one of the key controlling parameters for multiphase flow in porous media, and
paramount for various geoscience applications. While a general awareness of the …

Digital rock technology is becoming essential in reservoir engineering and petrophysics.
Three-dimensional digital rock reconstruction, image resolution enhancement, image …

The complex and multiscale nature of shale gas transport imposes new challenges to the
already well-developed techniques for conventional reservoirs, especially digital core …

The lithium-ion battery (LIB) field is moving towards the direction of investigating spatially
resolved physical phenomena in the 3D porous microstructure of electrodes. These pore …

Abstract Three-dimensional (3D) X-ray micro-computed tomography (μCT) has been widely
used in petroleum engineering because it can provide detailed pore structural information …

Various rocks such as carbonate, coal or shale contain both micro-and macro-pores. To
accurately predict the fluid flow and mechanical properties of these porous media, a multi …