Experimental and Numerical Study on the Elimination of Severe Slugging by Riser Outlet Choking
Nailiang Li,
Bin Chen (),
Xueping Du and
Dongtai Han
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Nailiang Li: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Bin Chen: State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Xueping Du: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Dongtai Han: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Energies, 2022, vol. 15, issue 19, 1-17
Abstract:
Severe slugging is an unstable multiphase flow pattern occurs in a pipeline riser with low gas and liquid flowrates. It is highly undesired in practical operation because of the pressure and mass flow oscillations induced. Riser outlet choking has shown effectiveness in eliminating or reducing the severity of the slugging. This work presents an experimental and numerical study on the elimination of severe riser-induced slug by means of riser outlet choking. The test loop consists of a horizontal pipeline with 50 mm i.d. and 15 m in length, followed by a downward inclined section and a vertical riser of 2 m. It was found that by choking the flow at riser outlet, flow pattern in the riser changes from severe slugging first into slug flow and then into bubbly flow. The recognition of the flow regimes was basically according to the trends of the riser base pressure. The flow patterns were characterized in terms of pressure at riser base, as well as liquid holdup at riser top. A numerical model was developed accordingly using OLGA to investigate the dynamic behavior in the process of riser outlet choking.
Keywords: severe slugging; multiphase flow pattern; choking; elimination method; OLGA predictions (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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