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Separation of Emulsions with Fibrous Filter-Coalescers
Opeyemi J Ajogbeje1, Aurelio Stammitti-Scarpone1, Shuwen Cao1
1Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario M5S 3E5, Canada.
A novel filter-coalescer effectively removes fine water droplets from diluted bitumen emulsions, reducing water content below 0.1 vol %. This method prevents downstream corrosion and catalyst deactivation in oil processing.
Area of Science:
- Petroleum Engineering
- Colloid and Surface Science
- Chemical Engineering
Background:
- Froth treatment yields water-in-diluted bitumen emulsions with small emulsified water droplets (<10 μm).
- These droplets contain chloride ions, causing catalyst deactivation and corrosion in downstream oil processing.
- Conventional methods like gravity settling and centrifugation fail to reduce water content below 2 wt %.
Purpose of the Study:
- To investigate the use of a filter-coalescer for efficient separation of water-in-bitumen emulsions.
- To develop a predictive model for emulsion filtration performance.
- To understand the mechanisms of droplet coalescence and detachment in filter-coalescers.
Main Methods:
- Utilized a filter-coalescer to promote the coalescence and separation of water-in-bitumen emulsion.
- Applied colloid filtration theory (Rajagopalan and Tien) enhanced with a coalescence probability (CP) prefactor (RTCP framework).
- Employed capillary number analysis to study droplet detachment under varying superficial velocities and bed porosities.
Main Results:
- Achieved significant reduction in water content in diluted bitumen emulsions to below 0.1 vol % after filter-coalescer treatment and gravity settling.
- The RTCP framework successfully reproduced experimental data, demonstrating its predictive capability.
- Capillary number analysis provided insights into drop detachment and size variations.
Conclusions:
- Filter-coalescers are effective for removing fine water droplets from diluted bitumen emulsions.
- The developed RTCP framework offers a potential predictive tool for emulsion filtration processes.
- Understanding droplet dynamics through capillary number analysis aids in optimizing filter-coalescer operation.
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