Hydrocyclone Separation Efficiency Modeled by Flow Resistances and Droplet Trajectories

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2 Citationer (Scopus)

Resumé

The growing demand to optimize the deoiling performance for offshore oil & gas gives the incentive to improve existing control solutions by means of model-based control solutions. This paper proposes a separation efficiency grey-box model of a deoiling hydrocyclone. Grey-box modeling of deoiling hydrocyclones aims to combine knowledge from fluid dynamics with the data-driven parameter estimation to yield better accuracy than black-box derived models while keeping the computational load much lower than CFD-simulations. The model has to be reasonably accurate in all likely operating conditions and be computed in real-time, in order to be beneficial for advanced model-based control. The developed grey-box model is based on flow resistance and oil droplet trajectory analysis. The model functionally describes how the valve openings, inflow rates, and PDR set-points affect separation efficiency of the considered generic deoiling hydrocyclone. The results are reasonable and provide a fundamental overview of how the operational conditions affect separation efficiency. The model can be extended to account for changes in the axial velocity distribution, coalescence and breakup of droplets.
OriginalsprogEngelsk
BogserieIFAC-PapersOnLine
Vol/bind51
Udgave nummer8
Sider (fra-til)132-137
Antal sider6
ISSN1474-6670
DOI
StatusUdgivet - 2018
Begivenhed3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2018 - Esbjerg, Danmark
Varighed: 30 maj 20181 jun. 2018
Konferencens nummer: 3

Konference

Konference3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2018
Nummer3
LandDanmark
ByEsbjerg
Periode30/05/201801/06/2018

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Trajectories
Fluid dynamics
Velocity distribution
Coalescence
Parameter estimation
Computational fluid dynamics
Gases

Citer dette

@inproceedings{40f0bb607a5342eda2a691d709895172,
title = "Hydrocyclone Separation Efficiency Modeled by Flow Resistances and Droplet Trajectories",
abstract = "The growing demand to optimize the deoiling performance for offshore oil & gas gives the incentive to improve existing control solutions by means of model-based control solutions. This paper proposes a separation efficiency grey-box model of a deoiling hydrocyclone. Grey-box modeling of deoiling hydrocyclones aims to combine knowledge from fluid dynamics with the data-driven parameter estimation to yield better accuracy than black-box derived models while keeping the computational load much lower than CFD-simulations. The model has to be reasonably accurate in all likely operating conditions and be computed in real-time, in order to be beneficial for advanced model-based control. The developed grey-box model is based on flow resistance and oil droplet trajectory analysis. The model functionally describes how the valve openings, inflow rates, and PDR set-points affect separation efficiency of the considered generic deoiling hydrocyclone. The results are reasonable and provide a fundamental overview of how the operational conditions affect separation efficiency. The model can be extended to account for changes in the axial velocity distribution, coalescence and breakup of droplets.",
keywords = "Deoiling, Gas, Grey-Box Modeling, Hydrocyclone, Oil, Separation Efficiency",
author = "Bram, {Mads Valentin} and Leif Hansen and Hansen, {Dennis Severin} and Zhenyu Yang",
year = "2018",
doi = "10.1016/j.ifacol.2018.06.367",
language = "English",
volume = "51",
pages = "132--137",
journal = "I F A C Workshop Series",
issn = "1474-6670",
publisher = "Elsevier",
number = "8",

}

Hydrocyclone Separation Efficiency Modeled by Flow Resistances and Droplet Trajectories. / Bram, Mads Valentin; Hansen, Leif; Hansen, Dennis Severin; Yang, Zhenyu.

I: IFAC-PapersOnLine, Bind 51, Nr. 8, 2018, s. 132-137.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

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AU - Hansen, Leif

AU - Hansen, Dennis Severin

AU - Yang, Zhenyu

PY - 2018

Y1 - 2018

N2 - The growing demand to optimize the deoiling performance for offshore oil & gas gives the incentive to improve existing control solutions by means of model-based control solutions. This paper proposes a separation efficiency grey-box model of a deoiling hydrocyclone. Grey-box modeling of deoiling hydrocyclones aims to combine knowledge from fluid dynamics with the data-driven parameter estimation to yield better accuracy than black-box derived models while keeping the computational load much lower than CFD-simulations. The model has to be reasonably accurate in all likely operating conditions and be computed in real-time, in order to be beneficial for advanced model-based control. The developed grey-box model is based on flow resistance and oil droplet trajectory analysis. The model functionally describes how the valve openings, inflow rates, and PDR set-points affect separation efficiency of the considered generic deoiling hydrocyclone. The results are reasonable and provide a fundamental overview of how the operational conditions affect separation efficiency. The model can be extended to account for changes in the axial velocity distribution, coalescence and breakup of droplets.

AB - The growing demand to optimize the deoiling performance for offshore oil & gas gives the incentive to improve existing control solutions by means of model-based control solutions. This paper proposes a separation efficiency grey-box model of a deoiling hydrocyclone. Grey-box modeling of deoiling hydrocyclones aims to combine knowledge from fluid dynamics with the data-driven parameter estimation to yield better accuracy than black-box derived models while keeping the computational load much lower than CFD-simulations. The model has to be reasonably accurate in all likely operating conditions and be computed in real-time, in order to be beneficial for advanced model-based control. The developed grey-box model is based on flow resistance and oil droplet trajectory analysis. The model functionally describes how the valve openings, inflow rates, and PDR set-points affect separation efficiency of the considered generic deoiling hydrocyclone. The results are reasonable and provide a fundamental overview of how the operational conditions affect separation efficiency. The model can be extended to account for changes in the axial velocity distribution, coalescence and breakup of droplets.

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