Zhai, L-S;
Angeli, P;
Jin, N-D;
Zhou, D-S;
Zhu, L;
(2017)
The nonlinear analysis of horizontal oil-water two-phase flow in a small diameter pipe.
International Journal of Multiphase Flow
, 92
pp. 39-49.
10.1016/j.ijmultiphaseflow.2017.02.006.
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Abstract
Horizontal oil-water two-phase flows are frequently encountered in many industrial processes but the understanding of the dynamic behavior underlying the different flow patterns is still a challenge. In this study, we first conduct experiments of horizontal oil-water flows in a small diameter pipe, and collect the fluctuation signals from conductance probes. The multi-scale power-law correlations of the oil-water flow structures are investigated using detrended fluctuation analysis (DFA) based on the magnitude and sign decomposition of the raw signals. The analysis reveals the scaling behavior of different flow structures; five conductive flow patterns are indentified based on the magnitude and sign scaling exponents at different time scales. In addition, the transfer entropy (TE) in a state space is used to study the information transferring characteristics of the oil-water mixture flowing past a conductance cross-correlation velocity probe. The results of TE indicate that the transferring information depends on the flow conditions and can be used to show changes in the flow patterns.
| Type: | Article |
|---|---|
| Title: | The nonlinear analysis of horizontal oil-water two-phase flow in a small diameter pipe |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ijmultiphaseflow.2017.02.006 |
| Publisher version: | https://doi.org/10.1016/j.ijmultiphaseflow.2017.02... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Mechanics, Horizontal Oil-Water Two-Phase Flow, Flow Pattern Identification, Flow Structure, Magnitude And Sign Correlations, Transfer Entropy, Liquid-Liquid Flows, Slightly Inclined Pipes, Pressure-Drop, Time-Series, Model, Agglomeration, Fluctuations, Fluidization, Validation, Pattern |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1545868 |
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