Measuring Flow Pattern Asymmetry of Oil-Water Two Phase Flows Using Multi-channel Rotating Electric Field Conductance Signals

2018 ◽  
Vol 74 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Yuansheng He ◽  
Yingyu Ren ◽  
Yunfeng Han ◽  
Ningde Jin
Keyword(s):  
Electric Field ◽  
Flow Pattern ◽  
Cross Section ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Time Asymmetry ◽  
Pipe Cross Section ◽  
Multi Scale ◽  
Oil Water

AbstractThe present study is a report on the asymmetry of dispersed oil phase in vertical upward oil-water two phase flow. The multi-channel signals of the rotating electric field conductance sensor with eight electrodes are collected in a 20-mm inner diameter pipe, and typical images of low pattern are captured using a high speed camera. With the multi-channel rotating electric field conductance signals collected at pipe cross section, multi-scale time asymmetry (MSA) and an algorithm of multi-scale first-order difference scatter plot are employed to uncover the fluid dynamics of oil-water two phase flow. The results indicate that MSA can characterise the non-linear behaviours of oil-water two phase flow. Besides, the MSA analysis also beneficial for understanding the underlying inhomogeneous distribution of the flow pattern in different directions at pipe cross section.

scholarly journals Multi-scale recurrence quantification analysis of the dynamic characteristics of two phase flow pattern

2008 ◽  
Vol 57 (10) ◽  
pp. 6145
Author(s):  
Dong Fang ◽  
Jin Ning-De ◽  
Zong Yan-Bo ◽  
Wang Zhen-Ya
Keyword(s):  
Flow Pattern ◽  
Dynamic Characteristics ◽  
Two Phase Flow ◽  
Recurrence Quantification Analysis ◽  
Phase Flow ◽  
Two Phase ◽  
Multi Scale ◽  
Recurrence Quantification ◽  
Quantification Analysis

Detecting the Flow Pattern Transition in the Gas-Liquid Two-Phase Flow Using Multivariate Multi-Scale Entropy Analysis

2019 ◽  
Vol 74 (10) ◽  
pp. 837-848 ◽  
Author(s):  
Yudong Liu ◽  
Dayang Wang ◽  
Yingyu Ren ◽  
Ningde Jin
Keyword(s):  
Flow Pattern ◽  
Two Phase Flow ◽  
Flow Patterns ◽  
Mean Value ◽  
Entropy Rate ◽  
Permutation Entropy ◽  
Phase Flow ◽  
Two Phase ◽  
Multi Scale ◽  
Flow Pattern Transition

AbstractDue to the complex flow structure and non-uniform phase distribution in the vertical upward gas-liquid two-phase flow, an eight-electrode rotating electric field conductance sensor is used to obtain multi-channel conductance signals. The flow patterns of the vertical upward gas-liquid two-phase flow are classified according to the images obtained from a high-speed camera. Then, we employ the multivariate weighted multi-scale permutation entropy (MWMPE) to detect the instability of flow pattern transition in the gas-liquid two-phase flow. Afterwards, we compare the results of the MWMPE with those of the single-channel weighted multi-scale permutation entropy (SCWMPE) and multivariate multi-scale sample entropy (MMSE). The comparison results indicate that, compared with the SCWMPE and MMSE, the MWMPE has superior performance in terms of the high-resolution presentation of flow instability in the gas-liquid two-phase flow. Finally, we extract the mean value of the MWMPE in whole scales and the entropy rate of the MWMPE in the small scales. The results indicate that the normalized mean value and normalized entropy rate of MWMPE are very sensitive to the transitions of flow patterns, thus allowing the detection of the instability of flow pattern transition.

Nonlinear dynamic analysis of large diameter inclined oil–water two phase flow pattern

2010 ◽  
Vol 36 (3) ◽  
pp. 166-183 ◽  
Author(s):  
Yan-Bo Zong ◽  
Ning-De Jin ◽  
Zhen-Ya Wang ◽  
Zhong-Ke Gao ◽  
Chun Wang
Keyword(s):  
Dynamic Analysis ◽  
Flow Pattern ◽  
Nonlinear Dynamic ◽  
Two Phase Flow ◽  
Large Diameter ◽  
Nonlinear Dynamic Analysis ◽  
Phase Flow ◽  
Two Phase ◽  
Oil Water

Characterising Dynamic Instability in High Water-Cut Oil-Water Flows Using High-Resolution Microwave Sensor Signals

2018 ◽  
Vol 73 (6) ◽  
pp. 485-499
Author(s):  
Weixin Liu ◽  
Ningde Jin ◽  
Yunfeng Han ◽  
Jing Ma
Keyword(s):  
High Resolution ◽  
Two Phase Flow ◽  
Dynamic Instability ◽  
High Water ◽  
Phase Flow ◽  
Two Phase ◽  
Multi Scale ◽  
Oil Water ◽  
High Water Cut ◽  
Water Cut

AbstractIn the present study, multi-scale entropy algorithm was used to characterise the complex flow phenomena of turbulent droplets in high water-cut oil-water two-phase flow. First, we compared multi-scale weighted permutation entropy (MWPE), multi-scale approximate entropy (MAE), multi-scale sample entropy (MSE) and multi-scale complexity measure (MCM) for typical nonlinear systems. The results show that MWPE presents satisfied variability with scale and anti-noise ability. Accordingly, we conducted an experiment of vertical upward oil-water two-phase flow with high water-cut and collected the signals of a high-resolution microwave resonant sensor, based on which two indexes, the entropy rate and mean value of MWPE, were extracted. Besides, the effects of total flow rate and water-cut on these two indexes were analysed. Our researches show that MWPE is an effective method to uncover the dynamic instability of oil-water two-phase flow with high water-cut.

An investigation of oil–water two-phase flow instability using multivariate multi-scale weighted permutation entropy

2019 ◽  
Vol 518 ◽  
pp. 131-144 ◽  
Author(s):  
Yun-Feng Han ◽  
Ning-De Jin ◽  
Lu-Sheng Zhai ◽  
Ying-Yu Ren ◽  
Yuan-Sheng He
Keyword(s):  
Two Phase Flow ◽  
Flow Instability ◽  
Permutation Entropy ◽  
Phase Flow ◽  
Two Phase ◽  
Multi Scale ◽  
Oil Water
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