A proposed correlation equation for predicting filter coefficient under unfavorable deposition conditions

Chang, Yu‐Wei; Cheng, Wenli; Chan, Hsun-Chih

doi:10.1016/j.seppur.2008.10.031

Cited by 17 publications

(21 citation statements)

References 6 publications

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“…In general, pore-throat plugging renders more severe permeability damage than pore surface deposition. Such conditions are implicitly included in the value of the filter coefficient predicted using the Tufenkji and Elimelech (2004) and Chang et al (2009) correlations in the present macroscopic modeling approach. In fact, such effects may be more pronounced for certain systems than the application cases considered in this article, such as dealing with water injection into hot subsurface formations for extraction of geothermal energy and injection of steam with or without mixing with light hydrocarbons into heavy-oil reservoirs for enhanced oil recovery.…”

Section: Superscripts O Initial Condition 1 Introductionmentioning

confidence: 99%

“…For example, the correlation of the filter coefficient provided by Tufenkji and Elimelech (2004) and Chang et al (2009) includes many dimensionless numbers of importance but omits several other dimensionless numbers involving the additional forces of importance, such as the inertia, friction-drag, shearing, hydrodynamic lift, and structural forces (Civan 2007a). The incomplete list of available expressions presented by Zamani and Maini (2009), nevertheless missing those given by Civan and Nguyen (2005) and Civan and Rasmussen (2005), for example reveals that there is no consensus amongst the various approaches.…”

Section: Superscripts O Initial Condition 1 Introductionmentioning

confidence: 99%

“…Unfortunately, however, their data could not be used for direct comparison with the present model predictions in lack of information about the characteristics of the core plug samples and the injection fluids used in their experiments. Information on values of the parameters involved and emphasized in this article are necessary, for example, for calculation of the filter coefficient using the empirical correlation given by Tufenkji and Elimelech (2004) and Chang et al (2009) which involve a number of dimensionless groups.…”

Section: Superscripts O Initial Condition 1 Introductionmentioning

confidence: 99%

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Non-isothermal Permeability Impairment by Fines Migration and Deposition in Porous Media including Dispersive Transport

Civan

2010

Transp Porous Med

107

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Particle migration and deposition, and resulting permeability impairment occurring in porous media are described by a practical phenomenological model considering temperature variation and particle transport by advection and dispersion. Variation of the filter coefficient and permeability of porous matrix by temperature and particle deposition, and other essential factors are considered by means of the special correlations of the relevant variables and dimensionless numbers. Comparison of the numerical results, obtained using a finite-difference numerical scheme with and without considering the dispersion mechanism and temperature variation, reveals the significance of such effects on fines migration and deposition, and consequent permeability impairment in porous media. Improved model presented in this article can be instrumental for scientifically guided experimentation, analysis, and optimal design of processes involving in transport of colloidal and fine particles through geological subsurface formations.

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Section: Superscripts O Initial Condition 1 Introductionmentioning

confidence: 99%

Section: Superscripts O Initial Condition 1 Introductionmentioning

confidence: 99%

Section: Superscripts O Initial Condition 1 Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Non-isothermal Permeability Impairment by Fines Migration and Deposition in Porous Media including Dispersive Transport

Civan

2010

Transp Porous Med

107

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“…17 can fit well with the experimental data especially for the submicron particles whose strong Brownian motion behavior cannot be ignored, it is less precise than the Bai and Tien's equation for large-size particles [13,14]. In order to predict the filter coefficient at the high ionic strength condition for submicron particles better when the diffusiophoretic effect is considered, new correlation equations of predicting η s0 (i.e., the favorable deposition condition) and of predicting α (i.e., the unfavorable deposition condition) will be established based on the simulation results obtained as follows.…”

Section: Theoretical Formalismmentioning

confidence: 81%

“…In our previous papers [8,9], by combining the constricted tube model with the Brownian dynamics simulation method [10,11], the initial collection efficiencies of a deepbed filter were determined under different simulation conditions, such as different flow rates, particle sizes, and different types of the DLVO interaction energy curves [12]. New correlation equations for a broad parameter range predicting the filter coefficient were also obtained [13,14]. This new correlation equation was found to be able to describe previous experimental results well, especially for those submicron particles with significant Brownian motion behavior under unfavorable deposition conditions.…”

Section: Introductionmentioning

confidence: 99%

New correlation equations for predicting filter coefficient ratio of submicron particles at high ionic strength when the diffusiophoretic effect is considered

Chang¹,

Cheng²,

Tseng³

et al. 2012

Colloid Polym Sci

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New correlation equations for the deep-bed filtration, including the term of diffusiophoresis, in addition to the Derjaguin and Landau, Verwey and Overbeek interactions, the Brownian diffusion and the interception, for predicting the initial collection efficiency under the favorable deposition condition and the filter coefficient ratio under the unfavorable deposition condition are derived by using the Brownian dynamics-simulation method. These new correlation equations for predicting the filter coefficient ratio are able to describe previous experimental results especially well for those submicron particles that are at high ionic strength.

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Predicting colloid transport through saturated porous media: A critical review

et al. 2015

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Understanding and predicting colloid transport and retention in water‐saturated porous media is important for the protection of human and ecological health. Early applications of colloid transport research before the 1990s included the removal of pathogens in granular drinking water filters. Since then, interest has expanded significantly to include such areas as source zone protection of drinking water systems and injection of nanometals for contaminated site remediation. This review summarizes predictive tools for colloid transport from the pore to field scales. First, we review experimental breakthrough and retention of colloids under favorable and unfavorable colloid/collector interactions (i.e., no significant and significant colloid‐surface repulsion, respectively). Second, we review the continuum‐scale modeling strategies used to describe observed transport behavior. Third, we review the following two components of colloid filtration theory: (i) mechanistic force/torque balance models of pore‐scale colloid trajectories and (ii) approximating correlation equations used to predict colloid retention. The successes and limitations of these approaches for favorable conditions are summarized, as are recent developments to predict colloid retention under the unfavorable conditions particularly relevant to environmental applications. Fourth, we summarize the influences of physical and chemical heterogeneities on colloid transport and avenues for their prediction. Fifth, we review the upscaling of mechanistic model results to rate constants for use in continuum models of colloid behavior at the column and field scales. Overall, this paper clarifies the foundation for existing knowledge of colloid transport and retention, features recent advances in the field, critically assesses where existing approaches are successful and the limits of their application, and highlights outstanding challenges and future research opportunities. These challenges and opportunities include improving mechanistic descriptions, and subsequent correlation equations, for nanoparticle (i.e., Brownian particle) transport through soil, developing mechanistic descriptions of colloid retention in so‐called “unfavorable” conditions via methods such as the “discrete heterogeneity” approach, and employing imaging techniques such as X‐ray tomography to develop realistic expressions for grain topology and mineral distribution that can aid the development of these mechanistic approaches.

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A proposed correlation equation for predicting filter coefficient under unfavorable deposition conditions

Cited by 17 publications

References 6 publications

Non-isothermal Permeability Impairment by Fines Migration and Deposition in Porous Media including Dispersive Transport

Non-isothermal Permeability Impairment by Fines Migration and Deposition in Porous Media including Dispersive Transport

New correlation equations for predicting filter coefficient ratio of submicron particles at high ionic strength when the diffusiophoretic effect is considered

Predicting colloid transport through saturated porous media: A critical review

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