Modeling Tracer Flow Characteristics in Different Types of Pores: Visualization and Mathematical Modeling

Structure of porous media and fluid distribution in rocks can significantly affect the transport characteristics during the process of microscale tracer flow. To clarify the effect of micro heterogeneity on aqueous tracer transport, this paper demonstrates microscopic experiments at pore level and p...

Full description

Saved in:
Bibliographic Details
Published in:Computer modeling in engineering & sciences 2020-01, Vol.123 (3), p.1205-1222
Main Authors: Liu, Tongjing, Liu, Weixia, Diwu, Pengxiang, Hu, Gaixing, Xu, Ting, Li, Yuqi, You, Zhenjiang, Qiao, Runwei, Wang, Jia
Format: Article
Language:English
Subjects:
Different Types Of Pores
Dispersion
Exact solutions
Flow characteristics
Flow velocity
Heterogeneity
Interstitial Flow Velocity
Mathematical analysis
Mathematical models
Occupancy
Porosity
Porous media
Sensitivity analysis
Tracer Concentration Prediction Model
Tracer Flow Characteristics
Transport properties
Visualization
Visualization And Mathematical Modeling
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Structure of porous media and fluid distribution in rocks can significantly affect the transport characteristics during the process of microscale tracer flow. To clarify the effect of micro heterogeneity on aqueous tracer transport, this paper demonstrates microscopic experiments at pore level and proposes an improved mathematical model for tracer transport. The visualization results show a faster tracer movement into movable water than it into bound water, and quicker occupancy inflowing pores than in storage pores caused by the difference of tracer velocity. Moreover, the proposed mathematical model includes the effects of bound water and flowing porosity by applying interstitial flow velocity expression. The new model also distinguishes flowing and storage pores, accounting for different tracer transport mechanisms (dispersion, diffusion and adsorption) in different types of pores. The resulting analytical solution better matches with tracer production data than the standard model. The residual sum of squares (RSS) from the new model is 0.0005, which is 100 times smaller than the RSS from the standard model. The sensitivity analysis indicates that the dispersion coef ficient and flowing porosity shows a negative correlation with the tracer breakthrough time and the increasing slope, whereas the superficial velocity and bound water saturation show a positive correlation.
ISSN:1526-1492
1526-1506
1526-1506
DOI:10.32604/cmes.2020.08961