The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation

REV-scale LBM (representative elementary volume scale lattice Boltzmann method) provides a possible way for the unified microscopic simulation of transscale seepage combined with pore-scale LBM. However, shown by numerical results, when simulated fluid flows in tight porous media with discrete micro...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhongkun Niu, Zhengming Yang, Yutian Luo, Yapu Zhang, Debin Xia, Taiyi Zheng, Xinli Zhao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2022/1082386
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832562231035822080
author Zhongkun Niu
Zhengming Yang
Yutian Luo
Yapu Zhang
Debin Xia
Taiyi Zheng
Xinli Zhao
author_facet Zhongkun Niu
Zhengming Yang
Yutian Luo
Yapu Zhang
Debin Xia
Taiyi Zheng
Xinli Zhao
author_sort Zhongkun Niu
collection DOAJ
description REV-scale LBM (representative elementary volume scale lattice Boltzmann method) provides a possible way for the unified microscopic simulation of transscale seepage combined with pore-scale LBM. However, shown by numerical results, when simulated fluid flows in tight porous media with discrete microfractures or dispersed dissolution pore, the nonphysical oscillation phenomenon will occur in the region of relatively greater velocity gradient, due to the insufficient computational node caused by computational capability constraints. And for that reason, the increase in simulation scale under certain computational capability will be restricted. In order to solve this problem, this paper extends the application of the original LBM local refinement algorithm into REV-LBM and corrects the original REV-LBM velocity processing method, such that REV-scale LBM has a more reasonable local refinement algorithm. Through conventional computation example, this paper proves that the local refinement algorithm can maintain well computational accuracy while at least double the time efficiency and could save more than 30% of CPU time in the practical application. This algorithm has a great potential of application in simulating flows in larger size porous media with complex micro-nano structures and can provide a new idea to transscale simulation in porous media.
format Article
id doaj-art-f1b9ffe130044200a68e6bd50e710ad9
institution Kabale University
issn 1468-8123
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Geofluids
spelling doaj-art-f1b9ffe130044200a68e6bd50e710ad92025-02-03T01:23:14ZengWileyGeofluids1468-81232022-01-01202210.1155/2022/1082386The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow SimulationZhongkun Niu0Zhengming Yang1Yutian Luo2Yapu Zhang3Debin Xia4Taiyi Zheng5Xinli Zhao6University of Chinese Academy of SciencesInstitute of Porous Flow and Fluid MechanicsUniversity of Chinese Academy of SciencesInstitute of Porous Flow and Fluid MechanicsUniversity of Chinese Academy of SciencesUniversity of Chinese Academy of SciencesUniversity of Chinese Academy of SciencesREV-scale LBM (representative elementary volume scale lattice Boltzmann method) provides a possible way for the unified microscopic simulation of transscale seepage combined with pore-scale LBM. However, shown by numerical results, when simulated fluid flows in tight porous media with discrete microfractures or dispersed dissolution pore, the nonphysical oscillation phenomenon will occur in the region of relatively greater velocity gradient, due to the insufficient computational node caused by computational capability constraints. And for that reason, the increase in simulation scale under certain computational capability will be restricted. In order to solve this problem, this paper extends the application of the original LBM local refinement algorithm into REV-LBM and corrects the original REV-LBM velocity processing method, such that REV-scale LBM has a more reasonable local refinement algorithm. Through conventional computation example, this paper proves that the local refinement algorithm can maintain well computational accuracy while at least double the time efficiency and could save more than 30% of CPU time in the practical application. This algorithm has a great potential of application in simulating flows in larger size porous media with complex micro-nano structures and can provide a new idea to transscale simulation in porous media.http://dx.doi.org/10.1155/2022/1082386
spellingShingle Zhongkun Niu
Zhengming Yang
Yutian Luo
Yapu Zhang
Debin Xia
Taiyi Zheng
Xinli Zhao
The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation
Geofluids
title The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation
title_full The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation
title_fullStr The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation
title_full_unstemmed The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation
title_short The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation
title_sort application of rev lbm double mesh local refinement algorithm in porous media flow simulation
url http://dx.doi.org/10.1155/2022/1082386
work_keys_str_mv AT zhongkunniu theapplicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT zhengmingyang theapplicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT yutianluo theapplicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT yapuzhang theapplicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT debinxia theapplicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT taiyizheng theapplicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT xinlizhao theapplicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT zhongkunniu applicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT zhengmingyang applicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT yutianluo applicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT yapuzhang applicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT debinxia applicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT taiyizheng applicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation
AT xinlizhao applicationofrevlbmdoublemeshlocalrefinementalgorithminporousmediaflowsimulation