Mathematical Modeling of Colloidal Particles Transport in the Medium Treated by Nanofluids

Deep Bed Filtration Approach

Danial Arab, Peyman Pourafshary, Shahaboddin Ayatollahi

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

A deep bed filtration model has been developed to quantify the effect of nanoparticles (NPs) on mitigating fines migration in porous media. The filtration coefficients representing the total kinetics of particles capture were obtained by fitting the model to the laboratory data. Based on the optimum filtration coefficients, the model was utilized to history match the particle concentration breakthrough profiles observed in twelve core flood tests. In the flooding experiments, the effect of five types of metal oxide NPs, γ-Al2O3,CuO, MgO,SiO2 and ZnO, on migrating fines were investigated. In each test, a stable suspension was injected into the already NP-treated core and effluents' fines concentration was measured based on turbidity analysis. In addition, zeta potential analysis was done to obtain the surface charge (SC) of the NP-treated medium. It was found that the presence of NPs on the medium surface results in SC modification of the bed and as a result, enhances the filter performance. Furthermore, the ionic strength of the nanofluid was recognized as an important parameter which governs the capability of NPs to modify the SC of the bed. The remedial effect of NPs on migrating fines is quantitatively explained by the matched filtration coefficients. The SC of the medium soaked by γAl2O3 nanofluid is critically increased; therefore, the matched filtration coefficient is of remarkably high value and as a result, the treated medium tends to adsorb more than 70 % of suspended particles. The predicted particle concentration breakthrough curves well matched with the experimental data.

Original languageEnglish
Pages (from-to)401-419
Number of pages19
JournalTransport in Porous Media
Volume103
Issue number3
DOIs
Publication statusPublished - 2014

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Nanoparticles
Surface charge
Turbidity
Zeta potential
Ionic strength
Oxides
Porous materials
Effluents
Suspensions
Metals
Kinetics
Experiments

Keywords

  • Colloidal particles transport
  • Deep bed filtration
  • Fines migration in porous media
  • Mathematical model
  • Nanoparticles

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Catalysis

Cite this

Mathematical Modeling of Colloidal Particles Transport in the Medium Treated by Nanofluids : Deep Bed Filtration Approach. / Arab, Danial; Pourafshary, Peyman; Ayatollahi, Shahaboddin.

In: Transport in Porous Media, Vol. 103, No. 3, 2014, p. 401-419.

Research output: Contribution to journalArticle

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