کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8125647 | 1522794 | 2016 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Determination of the optimum polymer dose for dewatering of oil sands tailings using UV-vis spectrophotometry
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
زمین شناسی اقتصادی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The slow settling of fine clays in oil sands residuals results in the generation of very large amounts of fine tailings that must be stored in dammed impoundments. Dewaterability and settling of oil sands residuals can be greatly improved by adding synthetic polymers, which would help to minimize the volume of tailings. Adding polymers at the optimum dose is extremely important in terms of process efficiency as well as cost-effectiveness. The optimum dose, however, varies based on the changes in the composition and characteristics of the tailings and ideally should be adjusted on a continuous basis. This study evaluated the potential of a UV-vis absorbance based analytical method to measure the polymer concentration and determine the optimum polymer dose for achieving the best thickening and dewatering performance from oil sands tailings. At 190Â nm, sample absorbance was found linearly correlated with the polymer concentration. The detection limit of the method for polymer A3338 (SNF) was established as 0.37Â mg/L in reclaimed water, which showed the method has the sensitivity to detect very low polymer concentrations. Furthermore, the method was also used to determine the optimum polymer dose by monitoring the residual polymer concentration in tailings water. Any potential interference from fines, salinity and pH were also investigated and were shown not to have an impact on the detection of the polymers. The results of the research indicate that thickening and dewatering optimization of oil sands tailings can be achieved by directly measuring the polymer concentration using an in-line UV-vis spectrophotometer that can generate real-time information.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Petroleum Science and Engineering - Volume 147, November 2016, Pages 68-76
Journal: Journal of Petroleum Science and Engineering - Volume 147, November 2016, Pages 68-76
نویسندگان
Asif M. Salam, Banu Ãrmeci, Paul H. Simms,