Measurement of oil-water flow via the correlation of turbine flow meter, gamma ray densitometry and drift-flux model

Li, Donghui; Xu, Jing-yu

doi:10.1016/s1001-6058(15)60515-7

Cited by 13 publications

(2 citation statements)

References 23 publications

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“…Baotong et al (2019) reported that three of existing empirical correlations such as Xu et al (2008), Li and Xu (2015), and Baotong et al (2019) systematically underestimated the oil fraction data of Rodriguez and Baldani (2012) of the order of -0.234, -0.197, and -0.199 (mean absolute error), respectively. Baotong et al (2019) also reported that three of existing empirical correlations such as Xu et al (2008), Li and Xu (2015), and Baotong et al (2019) systematically underestimated the oil fraction data of Onuoha et al (2016) of the order of -0.0934, -0.120, and -0.146 (mean absolute error), respectively. It has not been identified that the deviation between the calculated and measured oil fraction for both datasets is due to the measurement uncertainty or due to the incomplete modeling of the phenomena.…”

Section: Analytical Model To Predict Oil Fractionmentioning

confidence: 99%

Analytical model for predicting oil fraction in horizontal oil–water two-phase flow

Hibiki

Rassame

2019

Exp. Comput. Multiph. Flow

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The oil fraction is one of the key parameters in the design of horizontal pipes and relevant equipment in the oil production and transportation process of the petrochemical industry. Several existing models and correlations were applied as the predictive method, but due to the empirical nature of the models and correlations and limited data used for the benchmarking process, the applicability of the existing models and correlations to all flow regimes and full oil fraction range has not been well-examined. In view of these issues, this study is aiming at developing a predictive model of oil fraction in horizontal oil-water two-phase flow applicable to all flow regimes as well as full oil fraction range. In the modeling process, the oil-water two-phase flow is geometrically modeled as the stratified flow with dispersed water-continuous oil flow in the upper part of the circular channel and dispersed oil-continuous water flow in the lower part of the circular channel. An analytical model for predicting oil fraction in horizontal oil-water two-phase flows has been derived based on the assumption of velocity heads of two phases being equal. The analytical model includes two entrainment factors, e1 and e2, and the values of e1 and e2 are determined to be 0.2 considering bilateral droplet entrainments to oil and water phases. The analytical model has been validated with existing experimental data taken in a variety of test conditions. The comparison results demonstrate that the predictive capability of the analytical model is reasonably good for most of the existing test database including all six distinct oil-water two-phase flow regimes with the mean absolute error (or bias), standard deviation (random error), mean relative deviation, and mean absolute relative deviation of 0.0116, 0.0422, 1.61%, and 8.50%, respectively. Additionally, it is confirmed that the applicability of the analytical model can be extended to the steam-water two-phase flow in horizontal channels.

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Section: Analytical Model To Predict Oil Fractionmentioning

confidence: 99%

Analytical model for predicting oil fraction in horizontal oil–water two-phase flow

Hibiki

Rassame

2019

Exp. Comput. Multiph. Flow

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“…Accurate flow rate measurement is the important precondition of many industry fields, such as medical, energy, petrochemical engineering, etc(1). Turbine flowmeter has become an important part of flow measurement instruments with high accuracy, good reproducibility and stability (2,3). In addition, turbine flowmeter also can be used as a standard instrument to calibrate other flow measurement instruments.…”

Section: Introductionmentioning

confidence: 99%

Theory and structure of a modified optical fiber turbine flowmeter

Zhao

et al. 2016

Flow Measurement and Instrumentation

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The measurement lower limit of traditional turbine flowmeter is too large to satisfy the measurement requirements of small flow rate. A modified optical fiber turbine flowmeter based on the traditional turbine flowmeter principle was purposed. The front guide vane was specially designed with a helix angle to reduce the measurement lower limit and improve the measurement sensitivity. The theoretical model for the modified flowmeter was established based on planar vector triangle of flow velocities. From theoretical analysis, the conclusion that if the helix angle of front guide vane plus the helix angle of turbine equals to 90°, the starting volume flow rate of turbine can get minimum value and the sensitivity of the flowmeter can get maximum value was found. The correctness of the conclusion was verified by the Computational Fluid Dynamics (CFD) simulation.

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Multiscale modelling of mass transfer in gas jets and bubble plumes

O'Malley

Haelssig

2019

Can J Chem Eng

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The injection of high‐speed gas streams into liquids is common in many industrial applications, such as sparging in multiphase reactors and contacting in mass transfer devices. Modelling the fluid dynamics and associated heat and mass transfer processes in such a system is complex because it involves many governing scales and drastic changes in physical properties. In this study, one formulation of a multiscale computational fluid dynamics model is proposed to simulate the fluid dynamics and mass transfer in such systems. The model uses volume‐of‐fluid interface capturing in regions where high mesh resolution can be attained and the drift‐flux or mixture model approximation in regions where mesh resolution is too low to directly resolve interface dynamics. The model was developed to provide a tunable, automatic transition between the two modelling approaches for both fluid dynamics and mass transfer predictions. The approach was validated through a comparison with results from two published studies. In the first case, the implementation of the drift‐flux model was validated through the simulation of a dispersed gas bubble plume injected into a cylindrical tank. In the second case, the fluid dynamics and mass transfer predictions were compared to results from an experimental study involving the horizontal injection of air into a rectangular tank filled with water for the application of aeration. The results show that the modelling approach can provide a good prediction of the experimental data using only limited fitting of empirical parameters, making it applicable to a broad range of other applications.

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Measurement of oil-water flow via the correlation of turbine flow meter, gamma ray densitometry and drift-flux model

Cited by 13 publications

References 23 publications

Analytical model for predicting oil fraction in horizontal oil–water two-phase flow

Analytical model for predicting oil fraction in horizontal oil–water two-phase flow

Theory and structure of a modified optical fiber turbine flowmeter

Multiscale modelling of mass transfer in gas jets and bubble plumes

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