DocumentCode :
1574721
Title :
A new void fraction measurement method for gas-oil two-phase flow based on electrical capacitance tomography system and Otsu algorithm
Author :
Dailiang, Xie ; Haifeng, Ji ; Zhiyao, Huang ; Baoliang, Wang ; Haiqing, Li
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Volume :
4
fYear :
2004
Firstpage :
3753
Abstract :
A new void fraction measurement method for gas-oil two-phase flow based on electrical capacitance tomography system and Otsu algorithm is proposed. The images of medium distribution of gas-oil two-phase flow in pipeline are captured by a 12-electrode electrical capacitance tomography system. A hybrid image reconstruction algorithm combining Tikhonov regularization and the algebraic reconstruction technique is applied to obtain higher quality images. Otsu algorithm is used to select the threshold adaptively and binarize the reconstructed images. The cross-sectional void fraction of gas-oil two-phase flow is calculated according to the binarized images. Then the average void fraction can be achieved through continuous sampling. Experiments show that the errors of the measured average void fraction values are within 8% and the impact of flow patterns is negligible.
Keywords :
capacitance; image reconstruction; measurement; physics computing; tomography; two-phase flow; Otsu algorithm; Tikhonov regularization; algebraic reconstruction technique; cross-sectional void fraction; electrical capacitance tomography system; gas-oil two-phase flow; hybrid image reconstruction algorithm; void fraction measurement method; Capacitance measurement; Electric variables measurement; Electrical capacitance tomography; Equations; Fluid flow measurement; Image reconstruction; Image sampling; Petroleum; Pipelines; Ultrasonic variables measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1343302
Filename :
1343302
Link To Document :
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