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Multiphase Science and Technology
SJR: 0.183 SNIP: 0.483 CiteScore™: 0.5

ISSN Imprimir: 0276-1459
ISSN En Línea: 1943-6181

Multiphase Science and Technology

DOI: 10.1615/MultScienTechn.2020031553
pages 25-46


Suifeng Zou
State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, China P.R.; Wuhan Second Ship Design and Research Institute, Wuhan, China P.R.
Weizhi Liu
State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, China P.R.
Qiang Xu
State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, China P.R.
Xiangdong Xie
State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, China P.R.
Liejin Guo
State Key Laboratory of Multiphase Flow in Power Engineering (SKLMF), Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710049, Shaanxi, China


Transient gas/liquid two-phase flow caused by the change of inlet gas and/or liquid flow rates was experimentally studied in a 380-meter-long pipeline-riser system with a vertical riser of 21.5 meters in height. Results showed that, for the transient processes with the same median flow rates, the rise of flow rates was likely to result in shorter duration time compared to the fall of flow rates. Apart from the manner of change, the duration time was also closely related to the flow mechanism, which varied with the global flow regime. As a consequence, the transient process lasted a longer time around the transition boundary of stable regime and the severe slugging regime; whereas, the transient process would be shorter if the regime was an irregular oscillation; and the longest transient process was found at very low gas and liquid flow rates. As for the prediction of duration time of both the entire transient process and the transition to undesirable flow regimes, the support vector machine turned out to be much more suitable than the log-linear regression. In addition, some similarities of pressure drop signals were found between the transition to unstable and irregular flow regimes and the steady state of these regimes. Since the method for fast recognition of a steady global flow regime has already been developed, it becomes possible to forecast the transition to these undesirable flow regimes through the modification of the recognition method.


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