Dispersed oil-water-gas flow through a horizontal pipe

AIChE Journal ◽  
2009 ◽  
Vol 55 (5) ◽  
pp. 1090-1102 ◽  
Author(s):  
K. Piela ◽  
R. Delfos ◽  
G. Ooms ◽  
J. Westerweel ◽  
R.V.A. Oliemans
2019 ◽  
Vol 178 ◽  
pp. 1-13 ◽  
Author(s):  
P. Babakhani Dehkordi ◽  
L.P.M. Colombo ◽  
E. Mohammadian ◽  
D. Arnone ◽  
A. Azdarpour ◽  
...  

2003 ◽  
Vol 32 (6) ◽  
pp. 553-565
Author(s):  
G.X. Hu ◽  
W. Xu ◽  
Y.Q. Liu

2005 ◽  
Vol 295-296 ◽  
pp. 417-422
Author(s):  
X. Li ◽  
Z.L. Ding ◽  
F. Yuan

The correlation method had once been considered as one of the best methods for the measurement of multiphase flow. However, if the behavior of flow does not fit the ergodic random process, the measured cross correlation plot will have a gross distortion when the different components of flow do not pervade within one another to the full extent. We measured a variety of parameters of three phase oil/water/gas flow in an oil pipeline. The change of flow pattern is so complex that the measured signals are always contaminated by stochastic noises. The weak signals are very easily covered by the noise so that it will result in great deviation. Wavelet transformation is an analytical method of both time and frequency domain. The method can achieve signal decomposition and location in time and frequency domain through adjustment and translation of scale. An LMS algorithm in wavelet transform is studied for denoising the signals based on the use of a novel smart capacitive sensor to measure three phase oil/water/gas flow in oil pipeline. The results of simulation and data processing by MATLAB reveal that wavelet analysis has better denoising effects for online measurement of crude oils with high measurement precision and a wide application range.


2017 ◽  
Author(s):  
Vamshi Krishna Chillara ◽  
Blake T. Sturtevant ◽  
Cristian Pantea ◽  
Dipen N. Sinha

2014 ◽  
Vol 136 (7) ◽  
Author(s):  
Anjali Dasari ◽  
Anand B. Desamala ◽  
Ujjal K. Ghosh ◽  
Ashok K. Dasmahapatra ◽  
Tapas K. Mandal

We report a detailed investigation on the measurement and prediction of pressure gradient characteristics of moderately viscous lubricating oil-water flow through a horizontal pipe of 0.025 m internal diameter. Experiments are carried out over a wide range of phase velocities of both oil (USO = 0.015–1.25 m/s) and water (USW  =  0.1–1.1 m/s). Experimental pressure gradients yield significant errors when fitted to the existing correlations, which are largely used for gas-liquid flow. To predict pressure gradient characteristics for liquid-liquid flow, the existing correlations need to be modified. We propose two correlations, based on the Lockhart–Martinelli's approach (by modifying the correlation between the Lockhart–Martinelli parameter and a two-phase multiplier suitable for the present system) and dimensionless analysis, following the Buckingham's Pi-theorem. We observe significant improvement in the prediction of pressure gradient. The correlation based on the dimensionless analysis predicts better with an average absolute error of 17.9%, in comparison with the modified Lockhart–Martinelli correlation, which yields an average error of 22%, covering all the flow patterns. The present analysis shows better prediction as compared to two-fluid model Zhang et al. (2012, “Modeling High-Viscosity Oil/Water Concurrent Flow in Horizontal and Vertical Pipes,” SPE J., 17(1), pp. 243–250) and Al-Wahaibi (2012, “Pressure Gradient Correlation for Oil-Water Separated Flow in Horizontal Pipes,” Exp. Therm. Fluid Sci., 42, pp. 196–203) work.


Petroleum ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 199-205 ◽  
Author(s):  
Erik van Duin ◽  
Ruud Henkes ◽  
Gijs Ooms

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