Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.566016
Title: Slug initiation and prediction using high accuracy methods : applications with field data
Author: Kalogerakos, Stamatis
Awarding Body: Cranfield University
Current Institution: Cranfield University
Date of Award: 2011
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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.
Supervisor: Thompson, Chris ; Gourma, Mustapha Sponsor: Not available
Qualification Name: Thesis (D.Eng.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.566016  DOI: Not available
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