{"title":"可变阶时间分数广义纳维-斯托克斯方程的改进型晶格玻尔兹曼模型及其在渗透率预测中的应用","authors":"Junjie Ren , Hao Lei , Jie Song","doi":"10.1016/j.chaos.2024.115616","DOIUrl":null,"url":null,"abstract":"<div><div>The classic generalized Navier-Stokes (GNS) equations with integer-order calculus are not capable of capturing anomalous transport phenomena within porous media. Fractional calculus is able to character transport processes related to long-term memory and is commonly incorporated into various model equations for describing anomalous transport. The fractional order typically demonstrates spatial variation due to the spatial variability of complex microstructures within porous media. In this study, variable-order time-fractional GNS equations are presented to describe anomalous dynamics in porous flows by introducing the time-fractional derivative with a space-dependent fractional order. A fresh lattice Boltzmann (LB) model is developed to solve the variable-order time-fractional GNS equations. The key point is to propose a new equilibrium distribution function and a modified discrete force term so that the LB model can recover the correct macroscopic equations. Numerical simulations are carried out to verify the present model, and a strong consistency is found between the LB and analytical solutions. The present LB model is employed to simulate fluid flow through porous media and predict the permeability at the representative elementary volume (REV) scale. In contrast to previous research that focused solely on the REV-scale permeability under stable-state conditions, this study provides a comprehensive analysis of the REV-scale permeability under both unstable and stable states. Furthermore, the impact of the fraction order on the REV-scale permeability is thoroughly investigated. An increase in the fractional order is observed to result in a shorter time for the REV-scale permeability to reach a stable state, while having little impact on the REV-scale permeability in the stable state. The spatial distribution of the fraction order affects the spatial distribution of the velocity field, and then influences the REV-scale permeability in the stable state.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improved lattice Boltzmann model for variable-order time-fractional generalized Navier-Stokes equations with applications to permeability prediction\",\"authors\":\"Junjie Ren , Hao Lei , Jie Song\",\"doi\":\"10.1016/j.chaos.2024.115616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The classic generalized Navier-Stokes (GNS) equations with integer-order calculus are not capable of capturing anomalous transport phenomena within porous media. Fractional calculus is able to character transport processes related to long-term memory and is commonly incorporated into various model equations for describing anomalous transport. The fractional order typically demonstrates spatial variation due to the spatial variability of complex microstructures within porous media. In this study, variable-order time-fractional GNS equations are presented to describe anomalous dynamics in porous flows by introducing the time-fractional derivative with a space-dependent fractional order. A fresh lattice Boltzmann (LB) model is developed to solve the variable-order time-fractional GNS equations. The key point is to propose a new equilibrium distribution function and a modified discrete force term so that the LB model can recover the correct macroscopic equations. Numerical simulations are carried out to verify the present model, and a strong consistency is found between the LB and analytical solutions. The present LB model is employed to simulate fluid flow through porous media and predict the permeability at the representative elementary volume (REV) scale. In contrast to previous research that focused solely on the REV-scale permeability under stable-state conditions, this study provides a comprehensive analysis of the REV-scale permeability under both unstable and stable states. Furthermore, the impact of the fraction order on the REV-scale permeability is thoroughly investigated. An increase in the fractional order is observed to result in a shorter time for the REV-scale permeability to reach a stable state, while having little impact on the REV-scale permeability in the stable state. The spatial distribution of the fraction order affects the spatial distribution of the velocity field, and then influences the REV-scale permeability in the stable state.</div></div>\",\"PeriodicalId\":9764,\"journal\":{\"name\":\"Chaos Solitons & Fractals\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chaos Solitons & Fractals\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0960077924011688\",\"RegionNum\":1,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077924011688","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
An improved lattice Boltzmann model for variable-order time-fractional generalized Navier-Stokes equations with applications to permeability prediction
The classic generalized Navier-Stokes (GNS) equations with integer-order calculus are not capable of capturing anomalous transport phenomena within porous media. Fractional calculus is able to character transport processes related to long-term memory and is commonly incorporated into various model equations for describing anomalous transport. The fractional order typically demonstrates spatial variation due to the spatial variability of complex microstructures within porous media. In this study, variable-order time-fractional GNS equations are presented to describe anomalous dynamics in porous flows by introducing the time-fractional derivative with a space-dependent fractional order. A fresh lattice Boltzmann (LB) model is developed to solve the variable-order time-fractional GNS equations. The key point is to propose a new equilibrium distribution function and a modified discrete force term so that the LB model can recover the correct macroscopic equations. Numerical simulations are carried out to verify the present model, and a strong consistency is found between the LB and analytical solutions. The present LB model is employed to simulate fluid flow through porous media and predict the permeability at the representative elementary volume (REV) scale. In contrast to previous research that focused solely on the REV-scale permeability under stable-state conditions, this study provides a comprehensive analysis of the REV-scale permeability under both unstable and stable states. Furthermore, the impact of the fraction order on the REV-scale permeability is thoroughly investigated. An increase in the fractional order is observed to result in a shorter time for the REV-scale permeability to reach a stable state, while having little impact on the REV-scale permeability in the stable state. The spatial distribution of the fraction order affects the spatial distribution of the velocity field, and then influences the REV-scale permeability in the stable state.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.