Slug initiation and prediction using high accuracy methods - applications with field data

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dc.contributor.advisor Thompson, Chris
dc.contributor.advisor Gourma, Mustapha
dc.contributor.author Kalogerakos, Stamatis
dc.date.accessioned 2012-09-10T09:21:06Z
dc.date.available 2012-09-10T09:21:06Z
dc.date.issued 2011
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/7553
dc.description.abstract The sponsoring company of the project is BP. The framework within which the research is placed is that of the Transient Multiphase Flow Programme (TMF-4), a consortium of companies that are interested in phenomena related to flow of liquids and gases, in particular with relevance to oil, water and air. The deliverables agreed for the project were: • validating EMAPS through simulations of known problems and experimental and field data concerning slug flow • introducing numerical enhancements to EMAPS • decreasing computation times in EMAPS • using multi-dimensional methods to investigate slug flow The outcome of the current project has been a combination of new product development (1D multiphase code EMAPS) and a methodological innovation (use of 2D CFD for channel simulations of slugs). These are: • New computing framework composed of: – Upgraded version of 1D code EMAPS – Numerical enhancements with velocity profile coefficients – Validation with wave growth problem – Parallelisation of all models and sources in EMAPS – Testing suite for all sequential and parallel cases – Versioning control (SVN) and automatic testing upon code submission. • Use of 2D CFD VOF for channel simulation with: – Special initialisation techniques to allow transient simulations – Validation with wave growth problem – Mathematical perturbation analysis – Simulations of 92 experimental slug flow cases The cost of uptake of the above tools is relatively small compared to the benefits that are expected to follow, regarding predictions of hydrodynamic slugging. Depending on the timescales involved, it is also possible to use external consultancies in order to implement the solutions proposed, as these are software based and their uptake could be carried out in a small time-frame. Moreover it may not be necessary to build a parallel hardware infrastructure as it is now possible to have easy access to large parallel clusters and pay rates depending on use. en_UK
dc.language.iso en en_UK
dc.publisher Cranfield University en_UK
dc.rights © Cranfield University 2011. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder. en_UK
dc.title Slug initiation and prediction using high accuracy methods - applications with field data en_UK
dc.type Thesis or dissertation en_UK
dc.type.qualificationlevel Doctoral en_UK
dc.type.qualificationname EngD en_UK


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