DocumentCode
1893369
Title
Electromechanical flow imaging using ultrasound and electrical capacitance data
Author
Deinhammer, Christian ; Steiner, Gerald ; Sommer, Martin ; Watzenig, Daniel
Author_Institution
Inst. of Electr. Meas. & Meas. Signal Process., Graz Univ. of Technol., Graz
fYear
2008
fDate
26-29 Oct. 2008
Firstpage
160
Lastpage
163
Abstract
The imaging of multiphase flow is of vital interest in industries like oil and gas production in order to increase process efficiency. Tomographic methods allow non-invasive measurements, which is a clear advantage in the presence of aggressive fluids. Electrical capacitance and ultrasound sensors can be built at low cost and small size compared to established methods like X-ray tomography. However, they require the solution of a severely ill-posed inverse problem and consequently suffer from a rather low spatial resolution. In order to overcome the limitations of the single methods a combined imaging method utilizing both ultrasound and electrical capacitance measurements integrated on a single pipe section is presented. The acquired data sets contain complementary information that can be exploited through data fusion. The performance of the proposed method is demonstrated with measurements of two-phase material distributions.
Keywords
electromechanical effects; flow sensors; multiphase flow; tomography; ultrasonic devices; X-ray tomography; electrical capacitance; electromechanical flow imaging; gas production; ill-posed inverse problem; multiphase flow; noninvasive measurements; oil production; two-phase material distributions; ultrasound capacitance; ultrasound sensors; Capacitive sensors; Costs; Electrical capacitance tomography; Electrical products industry; Fuel processing industries; Gas industry; Petroleum; Production; Ultrasonic imaging; Ultrasonic variables measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2008 IEEE
Conference_Location
Lecce
ISSN
1930-0395
Print_ISBN
978-1-4244-2580-8
Electronic_ISBN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2008.4716408
Filename
4716408
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