An online flow pattern identification system for gas-oil two-phase flow using electrical capacitance tomography

Author

Dailiang, Xie ; Haifeng, Ji ; Zhiyao, Huang ; Haiqing, Li

Author_Institution

Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China

Volume

3

fYear

2004

fDate

18-20 May 2004

Firstpage

2320

Abstract

An online and non-invasive gas-oil two-phase flow pattern identification system based on electrical capacitance tomography technique is proposed. Image processing is used to analyze the reconstructed images. Fuzzy pattern recognition is introduced to determine the flow patterns. The experimental results show that the identification accuracy of homogeneous flow, stratified flow, annular-flow and slug flow is 94.8%, 96.4%, 85.2% and 92.0% respectively and the online flow patterns identification system is effective.

Keywords

capacitance measurement; computerised tomography; flow visualisation; image recognition; image reconstruction; inverse problems; mechanical engineering computing; oil technology; physics computing; pipe flow; pipelines; stratified flow; two-phase flow; annular-flow; electrical capacitance tomography; fuzzy pattern recognition; gas-oil two-phase flow; homogeneous flow; horizontal pipeline; image processing; image reconstruction computer; inverse problem; online flow pattern identification system; real-time visualization; slug flow; stratified flow; Capacitance measurement; Data acquisition; Electrical capacitance tomography; Electrodes; Fluid flow measurement; Image reconstruction; Pattern recognition; Pipelines; Stochastic processes; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE

ISSN

1091-5281

Print_ISBN

0-7803-8248-X

Type

conf

DOI

10.1109/IMTC.2004.1351557

Filename

1351557