Nowadays, lattice Boltzmann is one of the standard and exact methods of simulation in
micro‐CT images of rock. However, it has a high weakness in run time. Therefore, the effort …

Simple Summary The aim of this review is to provide researchers with a guide to simulating
the environment of poultry houses using computational fluid dynamics. Through an …

Indoor environmental quality is crucial for human health and comfort, necessitating precise
and efficient computational methods to optimise indoor climate parameters. Recent …

Permeability prediction is a crucial aspect of investigating fluid flow capacity in porous
media, and rapidly predicting the permeability of rock thin sections aids in reservoir …

This study first reviews the influence of grain size on the permeability of porous granular
media in comparison to other factors, especially the sorting of grain size distribution, in order …

Relative permeability (RP) curves which provide fundamental insights into porous media
flow behavior serve as critical parameters in reservoir engineering and numerical simulation …

The direct simulation Monte Carlo (DSMC) method, which is a probabilistic particle-based
gas kinetic simulation approach, is employed in the present work to describe the physics of …

Accurate permeability estimation in tight carbonates is a key reservoir characterization
challenge, more pronounced with heterogeneous pore structures. Experiments on large …

The deep saline aquifer (DSA) Poljana in the Upper Pannonian Poljana Sandstones of Sava
depression, the SW part of the Pannonian basin system, was identified as a potential CO2 …

利用机器学习模型预测多孔介质的渗透率是当前孔隙尺度模型的关键研究方向之一.
由于三维多孔介质数据无法直接应用于经典机器学习模型, 对孔隙空间结构进行特征提取是有 …