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Published on: January 16, 2018
Multivariate multiscale complex network analysis of vertical upward oil-water two-phase flow in a small diameter pipe
Zhong-Ke Gao1, Yu-Xuan Yang1, Lu-Sheng Zhai1
1School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China.
Abstract:
High water cut and low velocity vertical upward oil-water two-phase flow is a typical complex system with the features of multiscale, unstable and non-homogenous. We first measure local flow information by using distributed conductance sensor and then develop a multivariate multiscale complex network (MMCN) to reveal the dispersed oil-in-water local flow behavior. Specifically, we infer complex networks at different scales from multi-channel measurements for three typical vertical oil-in-water flow patterns. Then we characterize the generated multiscale complex networks in terms of network clustering measure. The results suggest that the clustering coefficient entropy from the MMCN not only allows indicating the oil-in-water flow pattern transition but also enables to probe the dynamical flow behavior governing the transitions of vertical oil-water two-phase flow.
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