Article
Environmental Sciences
Jianlin Zhao, Feifei Qin, Robert Fischer, Qinjun Kang, Dominique Derome, Jan Carmeliet
Summary: With the modified interacting capillary bundle model, the dynamics of liquid imbibition in a square tube with corner films were accurately described, showing the universal scaling law for the main meniscus. This model is helpful in investigating the mechanisms during spontaneous imbibition and the impacts of various factors on imbibition dynamics.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Haihu Liu, Shilin Sun, Rui Wu, Bei Wei, Jian Hou
Summary: A new color-gradient lattice Boltzmann model is developed to simulate spontaneous imbibition in a porous media micromodel, considering essential three-dimensional effects. The model is validated against analytical solutions and micromodel experiments, and used to study imbibition patterns under varying viscosity ratios and contact angles. Results show different imbibition patterns depending on the viscosity ratio, with the contact angle affecting flow instability and the presence of capillary valve effect.
WATER RESOURCES RESEARCH
(2021)
Review
Chemistry, Physical
Jianchao Cai, Yin Chen, Yang Liu, Shuang Li, Chenhao Sun
Summary: This review critically summarizes the fundamentals and concepts of various capillary imbibition models within different geometries over the past 100 years. It discusses the applications of these models and proposes a universal model based on dynamic wetting conditions and equivalent cylindrical geometry. Future research is suggested to focus on analyzing corner flow dynamics, wetting fluid snap-off, capillary rise of non-Newtonian fluids, and employing accurate physical simulation methods for capillary-driven flow processes.
ADVANCES IN COLLOID AND INTERFACE SCIENCE
(2022)
Article
Engineering, Civil
Yang Liu, Mingjie Chen, Shuyu Sun, Zhengdong Lei, Jianhui Zeng, Jianchao Cai
Summary: This study investigates the pore-scale flow mechanisms and geometric features' influence on spontaneous imbibition behavior under different boundary conditions. The results show that grain shape and packing pattern significantly affect the imbibition interface evolution and recovery factor. Different boundary conditions lead to different imbibition rates and ultimate recovery factors.
JOURNAL OF HYDROLOGY
(2022)
Article
Energy & Fuels
Rundong Gong, Xiukun Wang, Lei Li, Kaikai Li, Ran An, Chenggang Xian
Summary: This study investigates the effect of pore structure on spontaneous imbibition in variable-diameter capillaries. The research findings demonstrate that the variation in capillary diameter introduces additional resistance, causing the snap-off phenomenon and reducing the recovery efficiency of the non-wetting phase. The pore-throat ratio and tortuosity are identified as the main factors affecting this phenomenon.
Article
Energy & Fuels
Mohsen Farrokhrouz, Abbas Taheri, Stefan Iglauer, Alireza Keshavarz
Summary: A new mathematical model is developed to consider the importance of both capillary diffusion and injection fluid advection in spontaneous imbibition processes. The accuracy of the model has been validated by comparing it with numerical and experimental data. Unlike previous models, the suggested mathematical scheme is valid for various rock surface conditions.
Article
Engineering, Petroleum
Luming Cha, Qihong Feng, Sen Wang, Shiqian Xu, Chiyu Xie
Summary: Understanding the effect of wettability heterogeneity on multiphase flow in porous media is crucial, as many natural porous media contain grains with different wettabilities. By directly modeling the pore-scale behavior, we investigate the immiscible displacement during imbibition in a dual-wettability porous medium. We propose a heterogeneous index (HI) to quantify the wettability heterogeneity. Our simulations validate the numerical method by comparing the results with theoretical predictions, and show that wettability heterogeneity significantly affects fluid distribution, capillary pressure curve, and relative permeability curve in the dual-wettability porous media.
Article
Geochemistry & Geophysics
Jiangtao Zheng, Wenhai Lei, Yang Ju, Moran Wang
Summary: The spontaneous imbibition behavior driven by capillary force in the pore space under actual reservoir conditions was studied using an improved multi-component pseudo-potential lattice Boltzmann method. The results showed that imbibition was two times faster and snap-off oil droplets phenomenon was observed under reservoir conditions. Investigating spontaneous imbibition in a real porous structure and under actual reservoir conditions is crucial for understanding the process and uncovering controlling mechanisms.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Energy & Fuels
Yapeng Tian, Binshan Ju, Xinglong Chen, Zhangxin Chen, Yintao Dong, Dan Wu
Summary: By combining pore-scale experiments with lattice Boltzmann simulations, this study investigates the effects of geometrical factors and wettability on waterflooding efficiency. The results suggest that the model with fractures in the flow direction has the lowest oil recovery factor and longer fractures lead to more pronounced fingering phenomena. In circular section models, bridge-type residual oil occupies a small volume, resulting in high displacement efficiency.
Article
Environmental Sciences
Natanael Suwandi, Fei Jiang, Takeshi Tsuji
Summary: This study investigates the relative roles of viscosity ratio and capillary number on relative permeability of nonwetting and wetting fluids in a Berea sandstone model. The results show that increasing viscosity ratio leads to an increase in nonwetting fluid relative permeability and a decrease in wetting fluid relative permeability. Additionally, low capillary number significantly reduces nonwetting fluid relative permeability while wetting fluid relative permeability remains relatively unchanged. The correlation between viscosity ratio, capillary number, and nonwetting fluid relative permeability provides important insights for reservoir-scale simulations.
WATER RESOURCES RESEARCH
(2022)
Article
Mechanics
Shang-Gui Cai, Sajad Mozaffari, Jerome Jacob, Pierre Sagaut
Summary: This paper applies an immersed boundary-turbulence wall modeling approach to investigate turbulent flows over a generic car geometry, known as the Ahmed body. The study shows that the near-wall solution is significantly deteriorated compared to the body-fitted simulation, but enhanced wall treatments proposed in the literature can effectively address this issue.
Article
Environmental Sciences
Yang Liu, Steffen Berg, Yang Ju, Wei Wei, Jisheng Kou, Jianchao Cai
Summary: Imbibition in porous media is crucial in various engineering and industrial processes. This study examines the imbibition process in natural rocks at the pore scale, specifically under completely wetting and viscously unfavorable conditions. Numerical simulations reveal changes in flow characteristics, pore filling events, and morphology of the displacement front as the capillary number varies. Understanding these microscopic mechanisms is important for enhancing displacement efficiency and fluid connectivity.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Chemical
Xitong Zhang, Jinggang Zhang, Haihu Liu
Summary: In this study, a lattice Boltzmann method is employed to simulate a particle-laden droplet under a simple shear flow. The effects of particle concentration, viscosity ratio of droplet to ambient fluid, and particle inertia on droplet deformation and particle movement are investigated. It is found that the addition of particles reduces the interfacial free energy and leads to increased droplet deformation. Additionally, the viscosity ratio and particle inertia both influence the droplet deformation, with the former showing a monotonic decrease and the latter having a significant effect only at high Reynolds numbers.
Article
Energy & Fuels
Chao-Zhong Qin, Xin Wang, Huaijun Zhang, Mahmoud Hefny, Han Jiang, Jian Tian, Wen Deng
Summary: Spontaneous imbibition is a crucial process in various subsurface and industrial applications involving two-phase flow. However, the lack of an efficient and reliable pore-scale model has hindered our understanding of how pore-filling events during spontaneous imbibition affect average transport properties and the trapping of nonwetting fluids. In this study, we experimentally verify a computationally efficient image-based dynamic pore-network model for spontaneous imbibition and conduct case studies on Nubian sandstone. Our findings reveal that the widely used Young-Laplace equation significantly overestimates the average capillary pressure in cocurrent spontaneous imbibition due to the lack of parameterization for dynamic pore-filling and air entrapment. Based on our numerical results, we elucidate the competition of pore-filling events at different viscosity ratios of wetting and nonwetting fluids. Our model provides a valuable tool for predicting spontaneous imbibition quantitatively in geological formations and bridges the gap between pore-scale flow dynamics and the Darcy theory of spontaneous imbibition.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Thermodynamics
T. R. Zakirov, A. N. Mikhailova, M. A. Varfolomeev, C. Yuan
Summary: This paper presents the first systematic study of the dynamic adsorption of a water-soluble catalyst during two-phase flows in porous media. Mathematical modeling using lattice Boltzmann simulations was used to analyze the adsorption process. The results showed that oil viscosity and capillary number have opposite effects on the adsorbed amount of catalyst. The study also characterized different adsorption regimes based on the adsorption rate constant and capillary number.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2023)
Article
Mechanics
Wenhai Lei, Xukang Lu, Fanli Liu, Moran Wang
Summary: This study reports the non-monotonic wettability effects on displacement efficiency in porous structures. Experiments show that there exists a critical wettability in porous matrix structures with preferential flow pathways to achieve the highest displacement efficiency. The distribution of phases in porous structures also varies under different wettability conditions. Pore-scale mechanisms are identified to explain the formation of this non-monotonic wettability rule.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Chemistry, Physical
Wenhai Lei, Xukang Lu, Moran Wang
Summary: Micro/nanoparticle suspensions can adjust multiphase displacement in porous media, which has wide applications in various scientific and industrial contexts. Direct observation of suspension flow dynamics and corresponding multiphase patterns is challenging due to the opaque realistic porous media. However, microfluidic experiments provide alternative methods to observe suspension influence on interface and multiphase flow behaviors at high resolutions, improving understanding and optimization of displacement mechanisms.
ADVANCES IN COLLOID AND INTERFACE SCIENCE
(2023)
Article
Thermodynamics
Xin Ran, Yunfan Huang, Moran Wang
Summary: This paper proposes a hybrid Monte Carlo-discrete ordinates method (MC-DOM) for predicting phonon transport in mesoscopic systems with complex interfaces. The method combines the computational efficiency of DOM in the bulk region with the flexibility of MC near complex interfaces. It has been shown that the hybrid method runs faster than the pure particle method and is applicable for high-precision temperature calculation. The method enriches numerical tools for mesoscopic phonon transport simulation and contributes to the understanding and optimization of heat transport in micro/nanosystems with complex geometries.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Thermodynamics
Wuli Miao, Moran Wang
Summary: This study investigates thermal transport in metal/semiconductor multilayer films using the coupled electron and phonon Boltzmann transport equations combined with the phonon diffuse mismatch model. The importance of electron-phonon coupling transport and the critical thickness of the metal layer for considering this transport are demonstrated. The research findings provide insight into the manipulation of thermal conductivity in multilayers.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Engineering, Mechanical
Amer Alizadeh, Yunfan Huang, Fanli Liu, Hirofumi Daiguji, Moran Wang
Summary: Surface charging plays a crucial role in the stability of immiscible liquid-liquid interfaces, surfactant adsorption, drug delivery, and mineral flotation. This study presents an alternative experimental method using a streaming potential setup. A Y-Y shaped microchannel with a polymer-coated inner wall was employed to establish a flat and stable liquid-liquid interface. The method was successfully verified by investigating the charging of aqueous solution-silicon surface. The proposed method offers simplicity and flexibility for studying liquid-liquid interface charging mechanisms and inspiring quantitative macroscopic interfacial modeling.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Mechanics
V. Dzanic, C. S. From, A. Gupta, C. Xie, E. Sauret
Summary: This study numerically investigates the geometrical dependence of viscoelastic instabilities in geometrically complex applications where viscoelastic fluids naturally occur, such as porous media. The study demonstrates that the viscoelastic instability behavior is the same as previously reported in ideal pore geometries at low elasticity, but transitions into strong transient behavior at higher elasticity, with the most non-ideal pore geometry showing the strongest instability response.
Article
Geosciences, Multidisciplinary
Lihua Shao, Ping Lin, Jingwei Zhu, Yiyang Zhou, Chiyu Xie
Summary: The groundwater system is crucial for various human activities, but its safety is threatened by contamination. Emulsion has been suggested as a potential solution for decontamination. This study uses lattice Boltzmann simulations to reveal the pore-scale mechanism for the viscosity increase in decane-water emulsions. The results show that the apparent viscosity reaches its maximum when the decane saturation is around 20%, and the maximum viscosity increases with interfacial tension.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Energy & Fuels
Hongqing Song, Junming Lao, Liyuan Zhang, Chiyu Xie, Yuhe Wang
Summary: Through the study of micromodels, we have identified three pore-scale mechanisms in underground hydrogen storage in reservoirs: preferential-to-uniform flow transformation, floating flow, and dead-end pore invasion. These mechanisms play a crucial role in determining the storage capacity and efficiency. Factors such as pore heterogeneity, injection flux, and oil/brine distribution also impact the storage capacity and efficiency.
Article
Biophysics
Chiyu Xie, Xiaofan Li, Wei Qu, Ru Ji, Jiulong Wang, Hongqing Song
Summary: By combining various fractal theories and flow laws, we established a blood flow model based on computed tomography and angiography images, which can accurately predict portal hypertension. The model successfully classified patients with portal vein thrombosis and cirrhosis, and provided early warning parameters for these conditions.
JOURNAL OF BIOMECHANICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Lin Liu, Siyu Chen, Libo Feng, Jing Zhu, Jiangshan Zhang, Liancun Zheng, Chiyu Xie
Summary: A novel distributed order time fractional model is proposed to solve heat conduction, anomalous diffusion and viscoelastic flow problems. The governing equation is discretized using the mid-point quadrature rule for distributed order integrals and the L1-formula and L2-formula for time fractional derivatives. The stability and convergence of the difference scheme with zero boundary conditions are analyzed and proven. Three numerical examples are presented and an optimization algorithm is employed to validate the model's effectiveness, accuracy, and graphical analysis of velocity distribution.
COMPUTERS & FLUIDS
(2023)
Article
Thermodynamics
Shuyi Du, Meizhu Wang, Jiaosheng Yang, Yang Zhao, Jiulong Wang, Ming Yue, Chiyu Xie, Hongqing Song
Summary: This study proposes an enhanced prediction framework for coalbed methane (CBM) production forecasting using bidirectional long short-term memory (BiLSTM) and transfer learning. The findings demonstrate that Bi-LSTM has stronger memory capability and can improve the prediction accuracy of CBM dynamic data. The application of transfer learning significantly enhances the prediction performance for horizontal wells.
Article
Mechanics
V. Dzanic, C. S. From, Z. Wang, A. Gupta, C. Xie, E. Sauret
Summary: In this study, the existence of an additional mechanism provided by viscoelastic fluids in porous media for enhancing oil recovery is demonstrated. The mechanism is attributed to the buildup of polymer stresses near fluid-solid contact regions, which contributes to an additional forcing contribution that displaces trapped oil droplets. The study suggests that the use of viscoelastic fluids has the potential to provide an additional method for improving oil recovery in porous media.
Article
Mechanics
Chiyu Xie, Jingwei Zhu, Hongen Yang, Jiulong Wang, Lin Liu, Hongqing Song
Summary: This study proposes a new artificial intelligence prediction model that can accurately predict the relative permeability curve in subsurface engineering problems. The model can handle 3D digital rocks with variable sizes and achieves a high prediction accuracy.
Article
Mathematics, Interdisciplinary Applications
Hongqing Song, Junming Lao, Hongen Yang, Chiyu Xie, Jiulong Wang
Summary: Unconventional gas is an important energy source with considerable reserves and eco-friendly properties. The evaluation of relative permeability is crucial for unconventional gas extraction, but the complexity and multieffect of unconventional gas reservoirs pose challenges. In this study, we develop a gas-water flow model integrating multifractal theory to accurately evaluate the relative permeability evolution during unconventional gas development.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2023)
Article
Energy & Fuels
Shu-Yi Du, Xiang-Guo Zhao, Chi-Yu Xie, Jing-Wei Zhu, Jiu-Long Wang, Jiao-Sheng Yang, Hong-Qing Song
Summary: This study proposes an optimization framework based on proxy models, which combines Bayesian random forest and particle swarm optimization algorithm. It improves prediction accuracy, saves time, reduces gas-oil ratio, and increases oil production in carbonate reservoirs.
Article
Computer Science, Interdisciplinary Applications
Jin Bao, Zhaoli Guo
Summary: At the equilibrium state of a two-phase fluid system, the chemical potential is constant and the velocity is zero. However, it is challenging to capture this equilibrium state accurately in numerical simulations, resulting in inconsistent thermodynamic interfacial properties and spurious velocities. Therefore, numerical schemes with well-balanced properties are preferred for simulating two-phase flows.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Brian C. Vermeire
Summary: This study presents a framework for implicit large eddy simulation (ILES) of incompressible flows by combining the entropically damped artificial compressibility (EDAC) method with the flux reconstruction (FR) approach. Experimental results demonstrate that the method is accurate and stable for low-order solutions, while higher-order solutions exhibit significantly higher accuracy and lower divergence error compared to reference direct numerical simulation.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Mijian Li, Rui Wang, Xinyu Guo, Xinyu Liu, Lianzhou Wang
Summary: In this study, the flow mechanisms around wall-mounted structures were investigated using Large Eddy Simulation (LES). The impact of inflow turbulence on the flow physics, dynamic response, and hydrodynamic performance was explored. The results revealed strong interference between velocity fluctuations and the wake past the cylinder, as well as significant convection effects in the far wake region.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Donatella Passiatore, Luca Sciacovelli, Paola Cinnella, Giuseppe Pascazio
Summary: A high-order shock-capturing central finite-difference scheme is evaluated for numerical simulations of hyper-sonic high-enthalpy flows out of thermochemical equilibrium. The scheme utilizes a tenth-order accurate central-difference approximation of inviscid fluxes, along with high-order artificial dissipation and shock-capturing terms. The proposed approach demonstrates accuracy and robustness for a variety of thermochemical non-equilibrium configurations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Philipp Bahavar, Claus Wagner
Summary: Condensation is an important aspect in flow applications, and simulating the gas phase and tracking the deposition rates of condensate droplets can capture the effects of surface droplets on the flow while reducing computational costs.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Andras Szabo, Gyorgy Paal
Summary: This paper introduces an efficient calculation method, the parabolized stability equations (PSE), for solving stability equations. By calculating LU factorization once in each marching step, the time spent on solving linear systems of equations can be significantly reduced. Numerical experiments demonstrate the effectiveness of this method in reducing the solution time for linear equations, and its applicability to similar problems.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
A. Khalifa, M. Breuer
Summary: This study evaluates a recently developed data-driven model for collision-induced agglomerate breakup in high mass loading flows. The model uses artificial neural networks to predict the post-collision behavior of agglomerates, reducing computational costs compared to coupled CFD-DEM simulations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Chunmei Du, Maojun Li
Summary: This paper considers the bilayer shallow water wave equations in one-dimensional space and presents an invariant domain preserving DG method to avoid Kelvin-Helmholtz instability.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jean-Michel Tucny, Mihir Durve, Andrea Montessori, Sauro Succi
Summary: The prediction of non-equilibrium transport phenomena in disordered media is a challenging problem for conventional numerical methods. Physics-informed neural networks (PINNs) show potential for solving this inverse problem. In this study, PINNs were used to successfully predict the velocity field of rarefied gas flow, and AdamW was found to be the best optimizer.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Min Gao, Pascal Mossier, Claus-Dieter Munz
Summary: In recent decades, the arbitrary Lagrangian-Eulerian (ALE) approach has gained popularity in dealing with fluid flows with moving boundaries. This paper presents a novel algorithm that combines the ALE finite volume (FV) and ALE discontinuous Galerkin (DG) methods into a stable and efficient hybrid approach. The main challenge of this mixed ALE FV and ALE DG method is reducing the inconsistency between the two discretizations. The proposed algorithm is implemented into a loosely-coupled fluid-structure interaction (FSI) framework and is demonstrated through various benchmark test cases and complex scenarios.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Dawid Strzelczyk, Maciej Matyka
Summary: In this study, the numerical convergence of the Meshless Lattice Boltzmann Method (MLBM) is investigated through three benchmark tests. The results are compared to the standard Lattice Boltzmann Method (LBM) and the analytical solution of the Navier-Stokes equation. It is found that MLBM outperforms LBM in terms of error value for the same number of nodes discretizing the domain.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Kanishka Bhattacharya, Tapan Jana, Amit Shaw, L. S. Ramachandra, Vishal Mehra
Summary: In this work, an adaptive algorithm is developed to address the issue of tensile instability in Smoothed Particle Hydrodynamics (SPH) by adjusting the shape of the kernel function to satisfy stability conditions. The effectiveness of the algorithm is demonstrated through dispersion analysis and fluid dynamics simulations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Luis Laguarda, Stefan Hickel
Summary: We propose several enhancements to improve the accuracy and performance of the digital filter turbulent inflow generation technique, such as introducing a more realistic correlation function and varying target length scales. Additionally, we suggest generating inflow data in parallel at a prescribed time interval to improve computational performance. Based on the results of large-eddy simulations, these enhancements have shown to be beneficial. Suppressing streamwise velocity fluctuations at the inflow leads to the fastest relaxation of pressure fluctuations. However, this approach increases the adaptation length, which can be shortened by artificially increasing the wall-normal Reynolds stresses.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Constantin Zenz, Michele Buttazzoni, Tobias Florian, Katherine Elizabeth Crespo Armijos, Rodrigo Gomez Vazquez, Gerhard Liedl, Andreas Otto
Summary: A new model for compressible multiphase flows involving sharp interfaces and phase change is presented, with a focus on the treatment of compressibility and phase change in the multiphase fluid flow model. The model's accuracy and suitability are demonstrated through comparisons with experimental observations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Joseph O'Connor, Sylvain Laizet, Andrew Wynn, Wouter Edeling, Peter V. Coveney
Summary: This article aims to apply uncertainty quantification and sensitivity analysis to the direct numerical simulation (DNS) of low Reynolds number wall-bounded turbulent channel flow. By using a highly scalable DNS framework and UQ techniques, the study evaluates the influence of different numerical parameters on the simulation results without explicitly modifying the code. The findings provide guidance for numerical simulations of wall-bounded turbulent flows.
COMPUTERS & FLUIDS
(2024)
