Statistical features of the flow evolution in horizontal liquid-gas slug flow

•Experimental investigation on the slug flow evolution in horizontal pipes.•Resistive sensors are used to obtain slug flow parameters.•Effect of the superficial velocities in the PDF shapes of the slug parameters.•Distribution types were defined based on maximum likelihood estimate (MLE). The occurr...

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Published in:Experimental thermal and fluid science Vol. 119; p. 110203
Main Authors: Rodrigues, Rômulo L.P., Cozin, Cristiane, Naidek, Bruna P., Marcelino Neto, Moises A., da Silva, Marco J., Morales, Rigoberto E.M.
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Language:English
Published: Philadelphia Elsevier Inc 01-11-2020
Elsevier Science Ltd
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Abstract •Experimental investigation on the slug flow evolution in horizontal pipes.•Resistive sensors are used to obtain slug flow parameters.•Effect of the superficial velocities in the PDF shapes of the slug parameters.•Distribution types were defined based on maximum likelihood estimate (MLE). The occurrence of the slug flow pattern is frequently detected in the petroleum industry. Theoretical and experimental works on the complex behaviour of this flow pattern are abundantly found, and their aim is to advance the state-of-the-technique on the behaviour of this kind of flow. The goal of the present work is to provide experimental data collected in five probing stations with resistive sensors mounted on a horizontal air–water slug flow in a 25.8-mm ID pipe. A signal processing technique provides the translational velocities, frequencies and void fractions that arise from different gas and liquid volumetric flow rates. Based on the obtained results, the effects of the liquid and gas superficial velocities were correlated with the probability density functions (PDFs) of the parameters variations observed in the slug flow development along the pipe. A quantitative criteria based on maximum likelihood estimates is used to determine the Weibull distribution for the translational velocity and the lognormal distribution type for the slug frequency distribution type.
AbstractList •Experimental investigation on the slug flow evolution in horizontal pipes.•Resistive sensors are used to obtain slug flow parameters.•Effect of the superficial velocities in the PDF shapes of the slug parameters.•Distribution types were defined based on maximum likelihood estimate (MLE). The occurrence of the slug flow pattern is frequently detected in the petroleum industry. Theoretical and experimental works on the complex behaviour of this flow pattern are abundantly found, and their aim is to advance the state-of-the-technique on the behaviour of this kind of flow. The goal of the present work is to provide experimental data collected in five probing stations with resistive sensors mounted on a horizontal air–water slug flow in a 25.8-mm ID pipe. A signal processing technique provides the translational velocities, frequencies and void fractions that arise from different gas and liquid volumetric flow rates. Based on the obtained results, the effects of the liquid and gas superficial velocities were correlated with the probability density functions (PDFs) of the parameters variations observed in the slug flow development along the pipe. A quantitative criteria based on maximum likelihood estimates is used to determine the Weibull distribution for the translational velocity and the lognormal distribution type for the slug frequency distribution type.
The occurrence of the slug flow pattern is frequently detected in the petroleum industry. Theoretical and experimental works on the complex behaviour of this flow pattern are abundantly found, and their aim is to advance the state-of-the-technique on the behaviour of this kind of flow. The goal of the present work is to provide experimental data collected in five probing stations with resistive sensors mounted on a horizontal air–water slug flow in a 25.8-mm ID pipe. A signal processing technique provides the translational velocities, frequencies and void fractions that arise from different gas and liquid volumetric flow rates. Based on the obtained results, the effects of the liquid and gas superficial velocities were correlated with the probability density functions (PDFs) of the parameters variations observed in the slug flow development along the pipe. A quantitative criteria based on maximum likelihood estimates is used to determine the Weibull distribution for the translational velocity and the lognormal distribution type for the slug frequency distribution type.
ArticleNumber 110203
Author Cozin, Cristiane
Naidek, Bruna P.
Rodrigues, Rômulo L.P.
Morales, Rigoberto E.M.
Marcelino Neto, Moises A.
da Silva, Marco J.
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  givenname: Bruna P.
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  givenname: Moises A.
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  fullname: Marcelino Neto, Moises A.
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  givenname: Marco J.
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Two-phase flow
Slug flow
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Snippet •Experimental investigation on the slug flow evolution in horizontal pipes.•Resistive sensors are used to obtain slug flow parameters.•Effect of the...
The occurrence of the slug flow pattern is frequently detected in the petroleum industry. Theoretical and experimental works on the complex behaviour of this...
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StartPage 110203
SubjectTerms Experimental characterization
Flow pattern
Flow rates
Flow velocity
Frequency distribution
Information processing
Maximum likelihood estimates
Petroleum industry
Pipes
Probability density functions
Signal processing
Slug flow
Statistical analysis
Translation
Two-phase flow
Weibull distribution
Title Statistical features of the flow evolution in horizontal liquid-gas slug flow
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