Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Explaining non-monotonic retention profiles during flow of size-distributed colloids
Author: Malgaresi, G.
Collins, B.
Alvaro, P.
Bedrikovetsky, P.
Citation: Chemical Engineering Journal, 2019; 375:121984-1-121984-13
Publisher: Elsevier
Issue Date: 2019
ISSN: 1385-8947
Statement of
Gabriel Malgaresi, Ben Collins, Paul Alvaro, Pavel Bedrikovetsky
Abstract: Non-monotonic retention profiles (NRP) have been observed in numerous studies of colloidal-nano flows in porous media. For the first time, we explain the phenomenon by distributed particle properties (size, shape, surface charge). We discuss colloidal-nano transport with fines attachment considering stochastically distributed filtration coefficient (particle attachment probability) and the area occupied by particle on the rock surface. The distributed dynamic system allows for exact averaging (upscaling) yielding a novel 3 × 3 system of equations for total concentrations. Besides the traditional equations of particle mass balance and capture-rate, the novel system contains a third independent equation for kinetics of site occupation during particle attachment. Ten laboratory tests exhibiting NRP have been successfully matched by the upscaled system for binary colloids. These laboratory tests with 7-parametric data arrays have been successfully matched by the 5-parameter model, which validates the model. The tuned parameter values belong to their common intervals. The laboratory data tuning was significantly simplified by deriving the exact solution of upscaled equations. These results provide valuable insights for understanding the transport mechanisms and environmental impact in colloidal-nano flows exhibiting NRP. Besides, the upscaled system and the analytical model for 1D transport facilitate interpretation of the laboratory coreflood data and allows for the laboratory-based predictions for 3D colloidal-nano transport at the field scale.
Keywords: Colloid; attachment; retention; deep bed filtration; particle size distribution; non-monotonic
Rights: © 2019 Elsevier B.V. All rights reserved.
RMID: 0030119651
DOI: 10.1016/j.cej.2019.121984
Appears in Collections:Chemical Engineering publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.