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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    Titel :

    Hydrocyclone Separation Efficiency Modeled by Flow Resistances and Droplet Trajectories


    Beteiligte:

    Erscheinungsdatum :

    2018-01-01


    Anmerkungen:

    Bram , M V , Hansen , L , Hansen , D S & Yang , Z 2018 , ' Hydrocyclone Separation Efficiency Modeled by Flow Resistances and Droplet Trajectories ' , IFAC-PapersOnLine , vol. 51 , no. 8 , pp. 132-137 . https://doi.org/10.1016/j.ifacol.2018.06.367



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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