@Article{cmes.2020.08961,
AUTHOR = {Tongjing Liu, Weixia Liu, Pengxiang Diwu, Gaixing Hu, Ting Xu, Yuqi Li, Zhenjiang You, Runwei Qiao, Jia Wang},
TITLE = {Modeling Tracer Flow Characteristics in Different Types of Pores: Visualization and Mathematical Modeling},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {123},
YEAR = {2020},
NUMBER = {3},
PAGES = {1205--1222},
URL = {http://www.techscience.com/CMES/v123n3/39312},
ISSN = {1526-1506},
ABSTRACT = {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 in flowing 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 coefficient 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.},
DOI = {10.32604/cmes.2020.08961}
}