Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351557
