With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …

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 …

Microstructural characterization and analysis is the foundation of microstructural science,
connecting materials structure to composition, process history, and properties …

Road maintenance technology is required to maintain favorable driving conditions and
prevent accidents. In particular, a sensor technology is required for detecting road damage …

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 …

Stochastically reconstructing a three-dimensional (3D) structure of porous media from a
given two-dimensional (2D) image is an outstanding problem. For such problem, despite …

High-resolution digital rock micro-CT images captured from a wide field of view are essential
for various geosystem engineering and geoscience applications. However, the resolution of …

Reliable quantitative analysis of digital rock images requires precise segmentation and
identification of the macroporosity, sub-resolution porosity, and solid\mineral phases. This is …

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 …