Multi-scale diffuse interface modeling of multi-component two-phase flow with partial miscibility

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.

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

Acta Physica Sinica ◽

10.7498/aps.57.6145 ◽

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

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A multi-scale network method for two-phase flow in porous media

Journal of Computational Physics ◽

10.1016/j.jcp.2017.04.023 ◽

2017 ◽

Vol 342 ◽

pp. 194-210 ◽

Cited By ~ 14

Author(s):

Karim Khayrat ◽

Patrick Jenny

Keyword(s):

Porous Media ◽

Two Phase Flow ◽

Flow In Porous Media ◽

Phase Flow ◽

Two Phase ◽

Multi Scale ◽

Network Method ◽

Scale Network

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

Zeitschrift für Naturforschung A ◽

10.1515/zna-2019-0004 ◽

2019 ◽

Vol 74 (10) ◽

pp. 837-848 ◽

Cited By ~ 1

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.

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