2020
DOI: 10.1016/j.ijheatmasstransfer.2020.119514
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An experimental study of density-driven convection of fluid pairs with viscosity contrast in porous media

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Cited by 29 publications
(12 citation statements)
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References 39 publications
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“…With relevance to this work, we consider observations from 3D experimental studies. In particular Teng et al, Wang et al, and Liyanage et al indicate a power-law exponent between 0.9 and 1.0, which is larger than the value reported here. However, their data were collected using fluid pairs that feature either a nonmonotonic density profile , or a viscosity contrast that might impact the scaling.…”
Section: Resultscontrasting
confidence: 78%
See 2 more Smart Citations
“…With relevance to this work, we consider observations from 3D experimental studies. In particular Teng et al, Wang et al, and Liyanage et al indicate a power-law exponent between 0.9 and 1.0, which is larger than the value reported here. However, their data were collected using fluid pairs that feature either a nonmonotonic density profile , or a viscosity contrast that might impact the scaling.…”
Section: Resultscontrasting
confidence: 78%
“…A nondimensional measure for the long-term convective mass flux is the Sherwood number, Sh . It is determined as the average mass flux normalized by the diffusive mass flux over the sample height H with ,, S h = F normalc ϕ normalΔ c D m / H where Δ c = c max is the concentration difference between the liquids (pure and saturated water). In Figure the computed values of the Sherwood number are plotted as a function of Ra for each experiment.…”
Section: Resultsmentioning
confidence: 99%
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“…Figure 6 b compares the maximum finger number with Teng’s and Jiang’s data, showing our data are smaller (about 37.17%) than Teng’s and Jiang’s data [ 45 , 46 ]. The reason may be that both of them adopt simulation fluids for CCS and thermodynamics property of which differ from the real CO 2 gas we used.…”
Section: Resultsmentioning
confidence: 72%
“…In our previous studies, the convection mixing process was visually investigated by using CCD and MRI technologies (Jiang et al., 2019; Rasmusson et al., 2017; Teng et al., 2020). With the development of visualization technology, MRI has attained incomparable advantages in monitoring the spatial and temporal distributions of CO 2 .…”
Section: Introductionmentioning
confidence: 99%