Modality transition-based network from multivariate time series for characterizing horizontal oil–water flow patterns

Mei-Shuang Ding, Ning- De Jin and Zhong-Ke Gao ()
Additional contact information
Mei-Shuang Ding: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, P. R. China
Ning- De Jin: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, P. R. China
Zhong-Ke Gao: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, P. R. China

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 03, 1-14

Abstract: The simultaneous flow of oil and water through a horizontal pipe is a common occurrence during petroleum industrial processes. Characterizing the flow behavior underlying horizontal oil–water flows is a challenging problem of significant importance. In order to solve this problem, we carry out experiment to measure multivariate signals from different flow patterns and then propose a novel modality transition-based network to analyze the multivariate signals. The results suggest that the local betweenness centrality and weighted shortest path of the constructed network can characterize the transitions of flow conditions and further allow quantitatively distinguishing and uncovering the dynamic flow behavior underlying different horizontal oil–water flow patterns.

Keywords: Weighted complex network; multivariate time series analysis; horizontal oil–water flows; experiment; 05.45.Tp; 47.55.-t; 89.75.Fb (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183115500345
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:26:y:2015:i:03:n:s0129183115500345

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183115500345

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().