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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

TRANSIENT GAS/LIQUID TWO-PHASE FLOW IN A PIPELINE-RISER SYSTEM AFTER THE CHANGE OF INLET FLOW RATES

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

SINOPSIS

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.

REFERENCIAS

  1. Al-Rawahi, N., Meribout, M., Al-Naamany, A., Al-Bimany, A., and Meribout, A., A Neural Network Algorithm for Density Measurement of Multiphase Flow, Multiphase Sci. Technol., vol. 24, pp. 89-103, 2012.

  2. Al-Safran, E., Kappos, L., and Sarica, C., Experimental and Numerical Investigation of Separator Pressure Fluctuation Effect on Terrain Slugging in a Hilly Terrain Two-Phase Flow Pipeline, ASME J. Energy Resour. Technol, vol. 130, p. 033001, 2008.

  3. Alves, M.V.C., Waltrich, P.J., Gessner, T.R., Falcone, G., and Barbosa, J.R., Jr., Modeling Transient Churnannular Flows in a Long Vertical Tube, Int. J. Multiphase Flow, vol. 89, pp. 399-412, 2017.

  4. Choi, J., Pereyra E., Sarica, C., Lee, H., Jang, I.S., and Kang, J.M., Development of a Fast Transient Simulator for Gas-Liquid Two-Phase Flow in Pipes, J. Pet. Sci. Eng., vol. 102, pp. 27-35,2013.

  5. Dasari, A., Goshika, B.K., Majumder, S.K., and Mandal, T.K., Viscous Oil-Water Flow through an Inclined Pipeline: Experimentation and Prediction of Flow Patterns, Multiphase Sci. Technol., vol. 27, pp. 1-26, 2015.

  6. Han, P., A Multi-Flow-Field Model for Gas-Liquid Two-Phase Flow and Prediction of Flow Regime Transition in Long Distance Pipes, PhD, Xi'an Jiaotong University, 2016 (in Chinese).

  7. He, L., Guo, L., Chen, X., Chen, Z., and Kou, J., An Experimental Study of the Flowrate Transients in Slug Flow, Chin. J. Chem. Eng., vol. 10, pp. 396-403, 2002.

  8. Jansen, F.E., Shoham, O., and Taitel, Y., The Elimination of Severe Slugging: Experiment and Modeling, Int. J. Multiphase. Flow, vol. 22, pp. 1055-1072, 1996.

  9. Khasani, Jalilinasrabady, S., Tanaka, T., Fujii, H., and Itoi, R., The Study on Transient Behaviors of Two-Phase Flow in a Geothermal Production Well for a Short Period of Continuous Measurement, Exp. Therm. Fluid Sci., vol. 84, pp. 10-17,2017.

  10. King, M.J.S., Hale, C.P., Lawrence, C.J., and Hewitt, G.F., Characteristics of Flowrate Transients in Slug Flow, Int. J. Multiphase Flow, vol. 24, pp. 825-854, 1998.

  11. Li, N., Guo, L., and Li, W., Gas-Liquid Two-Phase Flow Patterns in a Pipeline-Riser System with an S-Shaped Riser, Int. J. Multiphase Flow, vol. 55, pp. 1-10, 2013.

  12. Malekzadeh, R., Henkes, R.A.W.M., and Mudde, R.F., Severe Slugging in along Pipeline-Riser System: Experiments and Predictions, Int. J. Multiphase Flow, vol. 46, pp. 9-21, 2012.

  13. Minami, K. and Shoham, O., Transient Two-Phase Flow Behavior in Pipelines: Experiment and Modeling, Int. J. Multiphase Flow, vol. 20, pp. 739-752,1994.

  14. Montgomery, J.A., Severe Slugging and Unstable Flows in an S-Shaped Riser, PhD, Cranfield University, 2002.

  15. Pelckmans, K., Suykens, J.A.K., Van Gestel, T., De Brabante, J., Lukas, L., Hamers, B., De Moor, B., and Vandewalle, J., LS-SVMlab1.5, accessed June 20, 2018, from https://www.esat.kuleuven.be/sista/lssvmlab/old/downloads/LS-SVMlab1.5aw.tar.gz, 2003.

  16. Pots, B.F.M., Bromilow, I.G., and Konijn, M.J.W.F., Severe Slug Flow in Offshore Flowline/Riser Systems, SPEPE., vol. 2, pp. 319-324,1987.

  17. Schmidt, Z., Experimental Study of Two-Phase Slug Flow in a Pipeline-Riser Pipe System, PhD, University of Tulsa, 1977.

  18. Waltrich, P.J., Falcone, G., and Barbosa, J.R., Jr., Liquid Transport during Gas Flow Transients Applied to Liquid Loading in Long Vertical Pipes, Exp. Therm. FluidSci., vol. 68, pp. 652-662, 2015.

  19. Wang, X., and Guo, L., Simulation of the Flowrate Transients Characteristics of Gas-Liquid Slug Flow in Horizontal Pipeline, J. Eng. Thermophys., vol. 25, pp. 797-800, 2004 (in Chinese).

  20. Wei, N., Xu, C., Meng, Y., Li, G., Ma, X., and Liu, A., Numerical Simulation of Gas-Liquid Two-Phase Flow in Wellbore based on Drift Flux Model, Appl. Math. Comput., vol. 338, pp. 175-191, 2018.

  21. Xu, Q., Ye, S., Liu, W., Chen, Y., Chen, Q., and Guo, L., Intelligent Identification of Steam Jet Condensation Regime in Water Pipe Flow System by Wavelet Multiresolution Analysis of Pressure Oscillation and Artificial Neural Network, Appl. Therm. Eng., vol. 147, pp. 1047-1058, 2018.

  22. Ye, J., and Guo, L., Multiphase Flow Pattern Recognition in Pipeline-Riser System by Statistical Feature Clustering of Pressure Fluctuations, Chem. Eng. Sci, vol. 102, pp. 486-501, 2013.

  23. Zhou, H., Guo, L., Yan, H., and Kuang, S., Investigation and Prediction of Severe Slugging Frequency in Pipeline-Riser Systems, Chem. Eng. Sci, vol. 184, pp. 72-84,2018.

  24. Zou, S., Guo, L., and Xie, C., Fast Recognition of Global Flow Regime in Pipeline-Riser System by Spatial Correlation of Differential Pressures, Int. J. Multiphase Flow, vol. 88, pp. 222-237, 2017a.

  25. Zou, S., Guo, L., Liu, W., Yao, T., and Kuang, S., Experimental Study on Transient Process of Gas and Liquid Flow Rates in Pipeline-Riser System, J. Eng. Thermophys, vol. 38, pp. 587-594, 2017b (in Chinese).

  26. Zou, S., Yao, T., Guo,L., Wu, Q., and Liu, Z., Effect of Measurement Position on Signal Length for Recog.

  27. Zou, S., Yao, T., Guo, L., Li, W., Wu, Q., Zhou, H., Xie, C., Liu, W., and Kuang, S., Non-Uniformity of Gas/Liquid Flow in a Riser and Impacts of Pipe Configuration and Operation on Slugging Characteristics. Exp. Therm. Fluid Sci, vol. 96, pp. 329-346, 2018.


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