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Research on Application of Wax Deposition Detection in the Nonmetallic Pipeline Based on Electrical Capacitance Tomography
Joint Authors
Li, Nan
Liu, Kui
Yang, Xiangdong
Cao, Mingchen
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Wax deposition detection in nonmetallic pipelines is an important requirement in the oil industry.
In this paper, an ECT (electrical capacitance tomography) sensor is developed for wax deposition detection in nonmetallic pipelines.
Four wax models with different concentrations were established for detection.
These models were analyzed through simulations and practical experiments simultaneously and data were compared.
A linear back projection algorithm is applied to reconstruct the image with both simulated and experimental data.
A comparison of binary images with different concentration of stratified flow was demonstrated; this illustrates that the difference in concentration between the experimental results and profile distribution is less than 1.2%.
The experimental results indicate that the ECT system is valid and feasible for detecting the degree of wax deposition in the nonmetallic pipelines.
American Psychological Association (APA)
Li, Nan& Liu, Kui& Yang, Xiangdong& Cao, Mingchen. 2016. Research on Application of Wax Deposition Detection in the Nonmetallic Pipeline Based on Electrical Capacitance Tomography. Journal of Sensors،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110597
Modern Language Association (MLA)
Li, Nan…[et al.]. Research on Application of Wax Deposition Detection in the Nonmetallic Pipeline Based on Electrical Capacitance Tomography. Journal of Sensors No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1110597
American Medical Association (AMA)
Li, Nan& Liu, Kui& Yang, Xiangdong& Cao, Mingchen. Research on Application of Wax Deposition Detection in the Nonmetallic Pipeline Based on Electrical Capacitance Tomography. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110597
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110597