Flowrate measurement of vertical oil-gas-water slug flow based on basic temperature and differential pressure signals

Wei, Guangsheng; He, Xiaoliang; Kong, Fulin; Liu, Chuanping; Tong, Lige; Lin, Hai; Wang, Li

doi:10.1016/j.measurement.2023.112555

Cited by 10 publications

(2 citation statements)

References 34 publications

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“…Previous researches have demonstrated that the PDF and PSD of the DP signal can be used for flow pattern recognition [20]. Additionally, there have been relevant researches for flow rate or void fraction prediction with machine learning by extracting features from DP signal [25]. In this work, the dependence of the PSD on the flow rates is exploited for obtaining estimates of the phase flow rates.…”

Section: Kurtosis Factormentioning

confidence: 99%

Soft measurement model for wet gas flow rate based on ultrasonic and differential pressure sensing

Zheng,

Shao,

Liu

et al. 2024

Meas. Sci. Technol.

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Non-separation measurement of gas-liquid two-phase flow is of great significance to industrial production and theoretical research on two-phase flow. In this paper, a soft measurement method of wet gas flow rate based on ultrasonic and differential pressure sensors is proposed. A total of 129 sets of experimental data are obtained in DN50 horizontal pipe, the superficial velocity of gas and liquid ranging from 5m/s to 33m/s and 0.015m/s to 0.6m/s, respectively. Ten feature parameters of ultrasonic signals such as the time difference between two echoes and kurtosis factor are proposed from time and frequency domain. As well as the power spectral density, mean value and standard deviation value are analyzed based on differential pressure signals. Furthermore, the Spearman correlation coefficient is introduced to evaluate these feature parameters quantitatively. And nine parameters which are highly correlated to gas-liquid flow rate are selected as the inputs of the soft measurement model. Finally, Decision Tree, LS-SVM and ANN models are established through training with the experimental data. Comparison results show that ANN has the lowest prediction errors on the test set, with the mean absolute percentage errors(MAPE) of 1.49% and 3.2% for gas and liquid, respectively.

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Section: Kurtosis Factormentioning

confidence: 99%

Soft measurement model for wet gas flow rate based on ultrasonic and differential pressure sensing

Zheng,

Shao,

Liu

et al. 2024

Meas. Sci. Technol.

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“…Numerous measurements and studies have been conducted on intermittent flow parameters, including the length, velocity, and interface distribution of long bubbles, as well as the length, frequency, and pressure fluctuations of liquid plugs [5,6]. The shape of long bubbles and the liquid film thickness around the bubbles are hot topics, especially the asymmetry observed in horizontal and near-horizontal pipes.…”

Section: Introductionmentioning

confidence: 99%

A novel laser interferometric method for thin film thickness measurement in gas–liquid intermittent flow

Wu,

Xue

2024

Meas. Sci. Technol.

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In horizontal intermittent flow, the long bubbles move toward the center of the pipe due to inertia, forming the thin liquid film above the long bubbles. Accurate measurement of the liquid film thickness is crucial for heat and mass transfer. In this paper, laser interferometric technology is innovatively introduced to measure the film thickness of the intermittent flow, and the thin liquid film is detected with a resolution of 100 nm. Considering the curvature of the circular pipe wall, which leads to divergent reflected light, the effect of the pipe wall on the interference pattern is explored by the ray tracing technique. A two-dimensional interpolation phase retrieval algorithm based on light intensity is proposed to reconstruct the thickness of the liquid film, and the average error is less than 1.86%. Benefiting from the exceptionally high resolution, research is conducted on the thin liquid film at the top of the horizontal intermittent flow, revealing its dependence on the sub-regimes and gas-liquid velocities.

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Distribution law of Taylor bubble/liquid slug length in oil–gas–water slug flow and the measurement of gas/liquid flow rates based on thermal diffusion

Guo,

Kong,

et al. 2024

Applied Thermal Engineering

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Flowrate measurement of vertical oil-gas-water slug flow based on basic temperature and differential pressure signals

Cited by 10 publications

References 34 publications

Soft measurement model for wet gas flow rate based on ultrasonic and differential pressure sensing

Soft measurement model for wet gas flow rate based on ultrasonic and differential pressure sensing

A novel laser interferometric method for thin film thickness measurement in gas–liquid intermittent flow

Distribution law of Taylor bubble/liquid slug length in oil–gas–water slug flow and the measurement of gas/liquid flow rates based on thermal diffusion

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