Application of Statistical Analysis for Optimizing of Column Flotation with Pine Oil for Oil Shale Cleaning
Abstract
Oil shale must have a large quantity of kerogen to be of economic benefit, but oil shale with about 30% kerogen is a low-quality ore. Thus, the column flotation technique has been utilized to increase its quality, and the results were analyzed by a reduced two-level factorial design to optimize the interaction effects of seven parameters by response surface modeling. The perturbation plots were used to identify the optimum conditions leading to a predicted maximum kerogen concentration of 53.2% and kerogen recovery of about 81% at estimated optimum conditions of 15% solid concentration, 0.36 cm/s superficial wash water flow rate, 0.28 cm/s superficial feed flow rate, 10 ppm frother concentration, 10 cm froth depth, 1.5 cm/s superficial air flow rate, and 1.5 kg/t pine oil collector dosage. Whereas, the validation experiments under these optimum values gave similar kerogen concentration and recovery of about 52.9–53.6% and 80–82%, respectively.
Recommended Citation
A. Sobhy et al., "Application of Statistical Analysis for Optimizing of Column Flotation with Pine Oil for Oil Shale Cleaning," International Journal of Coal Preparation and Utilization, vol. 42, no. 8, pp. 2285 - 2298, Taylor and Francis Group; Taylor and Francis, Jan 2022.
The definitive version is available at https://doi.org/10.1080/19392699.2020.1832478
Department(s)
Mining Engineering
Keywords and Phrases
column flotation; Oil shale; pine oil; statistical design
International Standard Serial Number (ISSN)
1939-2702; 1939-2699
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Taylor and Francis Group; Taylor and Francis, All rights reserved.
Publication Date
01 Jan 2022
