The Modelling of Multiphase Deep Sea Oil and Gas Blowouts with Computational Fluid Dynamics

Craig Booth

doi:10.26182/82ve-j773

The Modelling of Multiphase Deep Sea Oil and Gas Blowouts with Computational Fluid Dynamics

Craig Booth

Research output: Thesis › Doctoral Thesis

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Abstract

The droplet size distributions (DSDs) generated by the breakup of jets in industrial systems and accidental releases govern the movement and fate of the dispersed fluid. Turbulence-based models offer a method of DSD prediction that is more physically realistic than models based on bulk flow parameters. Computational Fluid Dynamic (CFD) models have been used to estimate turbulence quantities for use in empirical models of stirred cells and round turbulent free jets (with and without upstream blockages). It has been found that the turbulence generated by disturbances upstream of the jet exit significantly influence the jets and their resulting DSD.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Leggoe, Jeremy, Supervisor Aman, Zach, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	23 Apr 2021
DOIs	https://doi.org/10.26182/82ve-j773
Publication status	Unpublished - 2020

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10.26182/82ve-j773

THESIS - DOCTOR OF PHILOSOPHY - BOOTH, Craig Peter - 2020
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Cite this

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abstract = "The droplet size distributions (DSDs) generated by the breakup of jets in industrial systems and accidental releases govern the movement and fate of the dispersed fluid. Turbulence-based models offer a method of DSD prediction that is more physically realistic than models based on bulk flow parameters. Computational Fluid Dynamic (CFD) models have been used to estimate turbulence quantities for use in empirical models of stirred cells and round turbulent free jets (with and without upstream blockages). It has been found that the turbulence generated by disturbances upstream of the jet exit significantly influence the jets and their resulting DSD. ",

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AB - The droplet size distributions (DSDs) generated by the breakup of jets in industrial systems and accidental releases govern the movement and fate of the dispersed fluid. Turbulence-based models offer a method of DSD prediction that is more physically realistic than models based on bulk flow parameters. Computational Fluid Dynamic (CFD) models have been used to estimate turbulence quantities for use in empirical models of stirred cells and round turbulent free jets (with and without upstream blockages). It has been found that the turbulence generated by disturbances upstream of the jet exit significantly influence the jets and their resulting DSD.

KW - turbulence

KW - round jet

KW - computational fluid dynamics

KW - multiphase flow

KW - droplet size

KW - stirred cell

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M3 - Doctoral Thesis

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The Modelling of Multiphase Deep Sea Oil and Gas Blowouts with Computational Fluid Dynamics

Abstract

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