Article
Thermodynamics
Ammar Tariq, Zhenyu Liu
Summary: The type and quantity of obstacles can affect the friction factor coefficient and permeability under slip flow conditions. These two parameters also change correspondingly with variations in Knudsen number, Reynolds number, and porosity.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Xiaofei Zhu, Sen Wang, Qihong Feng, Lei Zhang, Li Chen, Wenquan Tao
Summary: This study employed a lattice Boltzmann model to validate the flow of three immiscible fluids in three-dimensional porous media, and analyzed the effects of wettability, viscosity ratio, and capillary number on relative permeability curves in detail.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Mechanics
Dong Zhao, Jian Hou, Bei Wei, Haihu Liu, Qingjun Du, Yang Zhang, Zezheng Sun
Summary: This study presents a fast method for predicting displacement fronts in different heterogeneous porous media using deep learning and orthogonal design. By generating displacement schemes with different permeability contrasts, capillary numbers, and viscosity ratios through orthogonal design, and obtaining datasets of displacement fronts through lattice Boltzmann simulation, a prediction network is established based on the U-Net structure. The results show that this method significantly reduces the time required for dataset establishment and network training, and greatly reduces the time needed for network prediction compared to lattice Boltzmann simulation.
Article
Engineering, Chemical
Wendong Wang, Han Wang, Yuliang Su, Meirong Tang, Jilong Xu, Qi Zhang
Summary: This paper comprehensively studies confined water flow in shale porous media, considering nanoscale effects and coupling transport mechanisms in different media. The research reveals that nanoscale effects greatly impact water flow behaviors, and confined water flow is sensitive to heterogeneous wettability and pore size.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Mohammad Kazemi, Ali Takbiri-Borujeni, Sam Takbiri, Arefeh Kazemi
Summary: A physics-informed machine learning model is developed to replace numerical simulations of porous media. The model accurately predicts flow fields by learning the communications among grid cells. Generalization of permeability with high accuracy is challenging due to the random arrangements of particles, and building a comprehensive database for different grain/pore arrangements is expensive. The developed model uses deep learning to represent porous media and combines neural network architectures to avoid gradient issues, with the continuity and momentum conservation equations embedded in the loss function.
COMPUTERS & FLUIDS
(2023)
Article
Physics, Fluids & Plasmas
Dario Maggiolo, Francesco Picano, Federico Toschi
Summary: Through pore-scale numerical simulations, it has been shown that directional-dependent two-phase flow behavior can be achieved in anisotropic porous media with controlled design. The results demonstrate distinct invasion dynamics based on the direction of fluid injection relative to the medium orientation.
Article
Thermodynamics
Hangkai Wei, Xiaofei Zhu, Xiaochun Liu, Haien Yang, Wen-Quan Tao, Li Chen
Summary: This study investigates the behavior of multiphase flow in porous media using Voronoi diagram and color-gradient lattice Boltzmann method. The results show that capillary number, structural heterogeneity, and wettability play important roles in flow behavior and recovery rate.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Engineering, Multidisciplinary
Yu-Liang Sun, Amin Rahmani, Tareq Saeed, Majid Zarringhalam, Muhammad Ibrahim, Davood Toghraie
Summary: The study used the free energy model of LBM to simulate the motion, deformation, and decomposition of droplets in porous media under the influence of electric currents. The numerical program was able to accurately model surface tension and volume forces, with results in good agreement with other valid references. The ability to apply these forces was essential in studying droplet behavior and decomposition in emulsions.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Thermodynamics
Jiajun Wang, Gangtao Liang, Xiangwei Yin, Shengqiang Shen
Summary: In this study, pool boiling on micro-pillar structured surfaces was investigated using a three-dimensional pseudo potential phase-change lattice Boltzmann method. The joint enhancing effects of surface wettability and pillar geometrical parameters on bubble nucleation and boiling performance were analyzed. It was found that on neutral and hydrophobic surfaces, increasing the spacing of micro pillars delayed nucleation, but reduced the temperature inside the vapor film and improved heat conduction. On hydrophilic surfaces, the impact of pillar spacing on nucleation was non-monotonic and more complex, with an enhanced heat flux and significantly different nucleation positions.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Engineering, Chemical
Yanjie Zhou, Liping Chen, Yanfeng Gong, Shilin Wang
Summary: This paper investigates the migration and deposition of suspended particles in porous media, analyzing the coupled effects of concentration, flow rate, and pH on the clogging mechanism. The study shows that critical velocity and repulsive barrier play crucial roles in particle deposition, with permeability impairment increasing with concentration and pH affecting the repulsive barrier.
Article
Thermodynamics
Kaouther Ben Ltaifa, Annunziata D'Orazio, Hacen Dhahri
Summary: This study conducted numerical analysis of mixed convection heat transfer in a rectangular microchannel filled with water/Al2O3 nanofluid, investigating the effects of nanoparticle volume fractions and inclination angles on flow and heat transfer. The results indicated that higher Al2O3 volume fractions and larger inclination angles can improve heat transfer rates.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Engineering, Geological
Tomohiro Kitao, Yutaka Fukumoto, Kazunori Fujisawa, Arif Jewel, Akira Murakami
Summary: The study investigates the accuracy of pore-scale intergranular flow analysis using the lattice Boltzmann method with the discrete element method, comparing it with experimental results of saturated seepage flows. The results show that the numerical method successfully predicts macroscopic properties obtained in permeability tests, demonstrating the applicability of the LBM-DEM analysis to pore-scale intergranular fluid flows.
Article
Energy & Fuels
Li Tao, Li Qian, Hu Yong, Peng Xian, Feng Xi, Zhu Zjanmei, Zhao Zihan
Summary: The study examined the effects of fracture aperture, strike, and connectivity on the permeability of fractured porous media, revealing that a greater strike factor and smaller tortuosity lead to higher permeability. Moreover, higher connectivity coefficient in the fracture network results in higher permeability for fracture-pore media, with a tendency toward dominant channel effects. Ultimately, connectivity in the fracture network has a greater impact on the seepage ability of fracture-pore media compared to fracture aperture and strike.
PETROLEUM EXPLORATION AND DEVELOPMENT
(2021)
Article
Mechanics
Yong Li, Yanmeng Chi, Chaojie Zhao, Yanan Miao, Shanling Han, Long Chen
Summary: In this study, X-ray microtomography and the lattice Boltzmann method were used to investigate the internal structures and fluid flow characteristics of carbon fiber media. The results demonstrated the effects of differential pressure, fluid kinematic viscosity, and boundary conditions on flow velocity, and showed that the use of a fractal model for permeability prediction yielded poor results.
COMPOSITE STRUCTURES
(2022)
Article
Physics, Mathematical
Hiroshi Otomo, Rafael Salazar-Tio, Jingling Yang, Hongli Fan, Andrew Fager, Bernd Crouse, Raoyang Zhang, Hudong Chen
Summary: In this study, computational models and a methodology are developed for accurate multicomponent flow simulation in underresolved multiscale porous structures. The flow contributions from underresolved scales are taken into account by using precomputed physical properties and applied to simulations in the underresolved regions. Benchmark test cases are simulated to evaluate the accuracy and robustness of this method, and the results show high accuracy in capturing various flow patterns and properties.
COMMUNICATIONS IN COMPUTATIONAL PHYSICS
(2023)
