Characterization of oil/water two-phase flow based on complexity theory

Author

Zhao, Sw ; Jin, Ning-De ; Hai, Miao ; Liu, Xing-Bin

Author_Institution

Sch. of Electr. Eng. & Autom., Tianjin Univ., China

Volume

3

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

1530

Abstract

The flow patterns of oil/water two-phase flow in vertical upward pipes have been characterized by the analysis of LZ complexity and fluctuation complexity measures using the conductance time series fluctuating signals. It is shown that both complexity measures have little changes with oil-in-water flow pattern variations for flow conditions of 61%≤K_w≤91% and irregular sudden changes to the transitional flow pattern variations for 51% of water cut (K_w). We conclude that the two complexity measures are sensitive ´indicators´ of flow pattern variations and the analysis method of complexity is an useful supplementary diagnostic tool for oil/water two phase flow patterns identification.

Keywords

computational complexity; data acquisition; flow simulation; pattern recognition; pipe flow; time series; two-phase flow; LZ complexity; complexity theory; conductance time series fluctuating signals; fluctuation complexity; oil-water two phase flow; patterns identification; sensitive indicators; supplementary diagnostic tool; transitional flow pattern variations; vertical upward pipes; Complexity theory; Electrodes; Fluctuations; Fluid flow measurement; Pattern analysis; Petroleum; Production; Signal analysis; Testing; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1382016

Filename

1382016