4.4 Article

An optimization study for preventing silica gelation and improving filtration effectiveness during pH reduction of high concentration silica solutions

Journal

CANADIAN JOURNAL OF CHEMICAL ENGINEERING
Volume 101, Issue 6, Pages 3044-3058

Publisher

WILEY
DOI: 10.1002/cjce.24760

Keywords

Doehlert design; NaCl; response surface methodology; SAGD; silica precipitation filtration

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Steam generation at steam-assisted gravity drainage facilities produces large amounts of wastewater with high pH and high silica levels. Neutralization of these concentrated streams results in the formation of a gel-like substance, making filtration of amorphous silica gel difficult. Experimental investigation was conducted to study the effects of SiO2 concentration, NaCl:SiO2 ratio, and pH. Response surface methodology was applied to optimize the responses and determine the optimal ranges of independent factors for maximum silica removal and filtration effectiveness.
The steam generation processes at the steam-assisted gravity drainage facilities result in huge quantities of wastewater streams, which are characterized by high pH and high silica levels. These concentrated streams need to be neutralized before their disposal via down-hole injection. The neutralization of these high-pH brines results in the formation of a gel-like substance, which makes it difficult to filter the amorphous silica gel. The wastewater used in this study was synthetically prepared using sodium metasilicate to mimic high-concentration silica solutions. Our experiments did not show any advantage of a two-step pH-neutralization process over the single-step process for suppressing silica gelation. A systematic experimental campaign was undertaken to investigate the effects of SiO2 concentration, NaCl:SiO2 ratio, and pH on the residual silica concentration, percent silica removal, filtration rate, and filtration effectiveness. For NaCl:SiO2 ratios higher than 4.5, silica precipitation during pH reduction did not lead to the formation of gel or sol. The response surface methodology (RSM), based on the Doehlert design of experiments, was implemented to optimize the responses and provide high efficacy with fewer experiments. The results from the analysis of variance (ANOVA) analyses of the experimental data were used to evaluate the significance of each term in the quadratic model. 3D response surfaces and 2D contour plots were generated for determining the optimal ranges of independent factors for achieving the maximum silica removal, the highest filtration rate, the best filtration effectiveness, and the minimum residual silica concentration. An optimum operating region was established from the RSM analysis and overlay plot.

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