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Image Processing For Quantitative Analysis of Fluid Fine Tailing’s, Dosed With Anionic Polyamide Based Flocculant

Muhammad Hissan khattak, Muhammad Asif, Paul H. Simms ORCID logo

In the proceedings of: GeoEdmonton 2018: 71st Canadian Geotechnical Conference; 13th joint with IAH-CNC

Session: Geoenvironmental Engineering I

ABSTRACT: Understanding long-term dewatering behaviour of oil sands tailings is significant to the success and optimization of tailings reclamation plans. Long term dewatering, of tailings is somewhat complex due to mechanical creep and or structuration driven by electrochemical forces, between clay particles. To modernize conceptual models of tailings dewatering, fabric evolution, of tailings over months has been studied using, Porosmetry, SEM, ESEM, as well as optical microscopy. Morphological, information is extracted from various images using a variety of image processing techniques. In this context, the main idea to this study was to use “Image processing” software, primarily “Fiji-Image J” for fabric investigation and quantitative analysis, of the amended fluid fine tailings (FFT). The long-term fabric evolution in an initially 0.10 m thick sample suggests growth in aggregate size, increase in average pore-size, although decrease in porosity.


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Cite this article:
khattak, Muhammad Hissan, Asif, Muhammad, Simms, Paul H. (2018) Image Processing For Quantitative Analysis of Fluid Fine Tailing’s, Dosed With Anionic Polyamide Based Flocculant in GEO2018. Ottawa, Ontario: Canadian Geotechnical Society.

@inproceedings{khattak_GEO2018_260, author = {{khattak, Muhammad Hissan}, {Asif, Muhammad}, {Simms, Paul H.}}
title = {Image Processing For Quantitative Analysis of Fluid Fine Tailing’s, Dosed With Anionic Polyamide Based Flocculant}
booktitle = {Proceedings of the 71st Canadian Geotechnical Conference; 13th joint with IAH-CNC }
year = {2018}
organization = {The Canadian Geotechnical Society},
address = {Ottawa, Canada} }
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