Proper Orthogonal Decomposition as a technique for identifying two-phase flow pattern based on electrical impedance tomography

Article English OPEN
Polansky, J ; Wang, M (2017)
  • Publisher: Elsevier
  • Subject:
    arxiv: Physics::Fluid Dynamics

Collecting of very large amount of data from experimental measurement is a common practice in almost every scientific domains. There is a great need to have specific techniques capable of extracting synthetic information, which is essential for understanding and modelling the specific phenomena. The Proper Orthogonal Decomposition (POD) is one of the most powerful data analysis methods for multivariate and nonlinear phenomena. Generally, POD is a procedure that takes a given collection of input experimental or numerical data and creates an orthogonal basis constituted by functions estimated as the solutions of an integral eigenvalue problem known as a Fredholm equation. This paper proposes a novel approach by utilising POD to identify flow structure in horizontal pipeline, specially, for slag, plug and wavy stratified air-water flow regimes, , in which POD technique extends the current evaluation procedure of electrical impedance tomography [31]. This capability is extended by the implementation of POD as an identifier for typical horizontal two phase flow regimes. Direct POD method introduced by Lumley and Snapshot POD method introduced by Sirovich are applied The POD snapshot matrices are reconstructed from electrical tomography measurement under specific flow conditions. It is expected that this study may provide new knowledge on two phase flow dynamics in a horizontal pipeline and useful information for further prediction of multiphase flow regime.
  • References (32)
    32 references, page 1 of 4

    [11] Delhaye J.M., Thermohydraulique 9782759810949, Paris, 2008

    [12] Deng, X, et al. (2001), The design of a dual plane ERT system for cross correlation measurement of bubbly gas/liquid flow. Measurement Science and Technology. 2001, Vol. 12, pp. 1024-1031.

    [13] Faray, Y., Wang, M. Jai, J., Automated horizontal slurry flow regime recognition using statistical analysis of the ERT signal. Journal of Procedia Engineering. 102, pp. 821-830, 2015

    [14] Freese T. L.& Associates, Inc., The Transportation of Petroleum and Derived Products in the American Market, 2006

    [15] Gordeyev S., POD,LSE and Wavelet decomposition: Literature Review, University of Notre dame

    [16] Halvorsn I.J., Skogestad S., Distillation Theory, Norwegian University of Science and Technology, 2000

    [17] Hewitt G.F., Roberyson D.N., Studies of Two-Phase Flow Patterns by Simultaneous X- ray and Flash Photography, Rept AERE-M2159, UKAEA, Harwell., 1969

    [18] Hewitt G.F., Empirical and Phenomenological Models for Multiphase Flows II. Horizontal Flows, Department of Chemical Engineering Imperial College London, UK, 2015

    [19] Holland, F A, Bragg, R., Fluid Flow for Chemical Engineers. London : Edward Arnold, 1995. pp. 219-267., 1995

    [20] Energy, transport and environment indicators, Eurostat, ISBN 978-92- 79-41256-1, 2014

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