The intricate interplay between microstructure and macroscopic transfer processes in porous
materials has long been recognized, yet achieving a definitive link between them remains a …

Accurately estimating reservoir rock properties is paramount for modeling the storage and
flow of fluids (hydrocarbon, carbon dioxide, and groundwater) in porous media. However …

Digital rock physics is at the forefront of characterizing porous media, leveraging advanced
tomographic imaging and numerical simulations to extract key rock properties like …

The prediction of physical properties for porous medium plays an essential role in geological
resource exploration and subsurface exploitation. Deterministic methods based on …

Global wildfire models play a crucial role in anticipating and responding to changing wildfire
regimes. JULES-INFERNO is a global vegetation and fire model simulating wildfire …

Accurate prediction of coal reservoir permeability is crucial for engineering applications,
including coal mining, coalbed methane (CBM) extraction, and carbon storage in deep …

Porous media is widely distributed in nature, found in environments such as soil, rock
formations, and plant tissues, and is crucial in applications like subsurface oil and gas …

This paper covers a novel micro-level application of image processing in understanding the
topological and petrophysical properties of Indian Gondwana shale using X-ray computed …

We utilize magnetic resonance imaging (MRI) techniques to study granular sphere packings
prepared with vertical vibration, and reveal the extremely slight global anisotropies of the …

In porous media, the transport and flow through the void phase are influenced by the internal
pore network due to its complex morphology. In other words, the contributions of individual …