Efficiency estimation of liquid‐liquid Hydrocyclones using trajectory analysis

Wolbert, D.; Ma, Baoyu; Aurelle, Y.; Seureau, J.

doi:10.1002/aic.690410606

“…The theoretical results showed an optimum split ratio, as opposed to previously reported results, and an increment in the efficiency when the feed flow rate was increased. Wolbert et al (1995) presented an efficient computational model based on the analysis of the trajectories of the oil droplets. Trajectories were characterized by a differential equation that combines the models for the three-velocity distributions and the settling velocity defined by Stokes's law.…”

Section: Modeling and Cfd Simulationsmentioning

confidence: 99%

“…In our case, in order to track the position of the droplets in cylindrical and conical sections, the continuity equation and wall conditions suggested by Kelsall (1952) and Wolbert (1995) are used for the radial velocity profile, yielding:…”

Section: Velocity Fieldmentioning

confidence: 99%

Oil-Water Separation in Liquid-Liquid Hydrocyclones (LLHC)–Experiment and Modeling

Gómez

¹

,

Caldentey

²

,

Wang

³

et al. 2001

View full text Add to dashboard Cite

The data reveal that LLHCs can be used up to 10% oil concentrations at the inlet, maintaining high separation efficiency. However, the performance of the LLHC is best for very low oil concentrations at the inlet, below 1%. For low concentrations, no emulsification of the mixture occurs in the LLHC. However, high inlet concentrations, up to 10%, promote emulsification posing a separation problem in the overflow stream.An existing LLHC mechanistic model is modified and refined. The main modifications carried out are improved correlation for the swirl intensity that affects the axial and tangential velocity distributions, the flow reversal radius and the inlet factor.The required inputs for the model are: LLHC geometry, fluid properties, inlet droplet size distribution and operational conditions. The model is capable of predicting the LLHC hydrodynamic flow field, namely, the swirl intensity and the axial, tangential and radial velocity distributions of the continuous-phase. The separation efficiency and migration probability are determined based on droplet trajectory analysis. The flow capacity, namely, the inlet-to-underflow pressure drop, is predicted utilizing an energy balance analysis.The LLHC mechanistic model was tested against the present study data and additional data from the literature, especially from . Very good agreement is observed between the model predictions and the experimental data with respect to the swirl intensity, axial and tangential velocity distributions, migration probability and global separation efficiency. The developed LLHC model can be used for the design of field applications for the industry. v ACKNOWLEDGEMENTS

show abstract

“…It is a threat for life in water and the concentration of oil in the sea water is limited to 30 mg l -1 or below [1]. Initially, hydrocyclones were used as primary separators, but the separations targets for drops below 40 µm were not achieved and the process was expensive [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Prediction of size distribution of crude oil drops in the permeate using a slotted pore membrane

Ullah

¹

,

Holdich

²

,

Naeem

³

et al. 2014

Chemical Engineering Research and Design

View full text Add to dashboard Cite

“…This assumption has also been applied by other researchers (Seyda and Petty, 1991;Wolbert et al, 1995 andMoraes et al, 1996).…”

Section: Separation Efficiencymentioning

confidence: 67%

Oil-Water Separation in Liquid-Liquid Hydrocyclones (LLHC) -Experiment and Modeling

Carlos¹,

Juan²,

Wang³

et al. 2001

Proceedings of SPE Annual Technical Conference and Exhibition

View full text Add to dashboard Cite

The data reveal that LLHCs can be used up to 10% oil concentrations at the inlet, maintaining high separation efficiency. However, the performance of the LLHC is best for very low oil concentrations at the inlet, below 1%. For low concentrations, no emulsification of the mixture occurs in the LLHC. However, high inlet concentrations, up to 10%, promote emulsification posing a separation problem in the overflow stream.An existing LLHC mechanistic model is modified and refined. The main modifications carried out are improved correlation for the swirl intensity that affects the axial and tangential velocity distributions, the flow reversal radius and the inlet factor.The required inputs for the model are: LLHC geometry, fluid properties, inlet droplet size distribution and operational conditions. The model is capable of predicting the LLHC hydrodynamic flow field, namely, the swirl intensity and the axial, tangential and radial velocity distributions of the continuous-phase. The separation efficiency and migration probability are determined based on droplet trajectory analysis. The flow capacity, namely, the inlet-to-underflow pressure drop, is predicted utilizing an energy balance analysis.The LLHC mechanistic model was tested against the present study data and additional data from the literature, especially from . Very good agreement is observed between the model predictions and the experimental data with respect to the swirl intensity, axial and tangential velocity distributions, migration probability and global separation efficiency. The developed LLHC model can be used for the design of field applications for the industry. v ACKNOWLEDGEMENTS

show abstract

Efficiency estimation of liquid‐liquid Hydrocyclones using trajectory analysis

Abstract: As the use of hydrocyclones for liquid

Cited by 56 publications

References 2 publications

Oil-Water Separation in Liquid-Liquid Hydrocyclones (LLHC)–Experiment and Modeling

Oil-Water Separation in Liquid-Liquid Hydrocyclones (LLHC)–Experiment and Modeling

Prediction of size distribution of crude oil drops in the permeate using a slotted pore membrane

Oil-Water Separation in Liquid-Liquid Hydrocyclones (LLHC) -Experiment and Modeling

Contact Info

Product

Resources

About