Flow measurement of oil-in-water flows in vertical low flow rate and high water-cut flow conditions

Velocity and flow field are both parameters to measure flow characteristics, which can help determine the logging location and response time of logging instruments. Particle image velocimetry (PIV) is an intuitive velocity measurement method. However, due to the limitations of image acquisition equipment and the flow pipe environment, the velocity of a horizontal small-diameter pipe with high water cut and low flow velocity based on PIV has measurement errors in excess of 20%. To solve this problem, this paper expands one-dimensional displacement sub-pixel fitting to two dimensions and improves the PIV algorithm by Kriging interpolation. The improved algorithm is used to correct the blank and error vectors. The simulation shows that the number of blank and error vectors is reduced, and the flow field curves are smooth and closer to the actual flow field. The experiment shows that the improved algorithm has a maximum measurement error of 5.9%, which is much lower than that of PIV, and that it also has high stability and a repeatability of 3.14%. The improved algorithm can compensate for the local missing flow field and reduce the requirements related to the measurement equipment and environment. The findings of this study can be helpful for the interpretation of well logging data and the design of well logging instruments.

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A Modified Adaptive Cross-Correlation Method for Flow Rate Measurement of High-Water-Cut Oil-Water Flow Using Planar Flowmeter

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3129485 ◽

2021 ◽

pp. 1-1

Author(s):

Xiaokai Zhang ◽

Jiangtao Sun ◽

Jinhai Hu ◽

Xiaolei Liu ◽

Xingbin Liu ◽

...

Keyword(s):

Water Flow ◽

Flow Rate ◽

Cross Correlation ◽

Correlation Method ◽

High Water ◽

Rate Measurement ◽

Flow Rate Measurement ◽

Oil Water ◽

High Water Cut ◽

Water Cut

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Study on a New Electromagnetic Flow Measurement Technology Based on Differential Correlation Detection

Sensors ◽

10.3390/s20092489 ◽

2020 ◽

Vol 20 (9) ◽

pp. 2489 ◽

Cited By ~ 1

Author(s):

Liang Ge ◽

Junxian Chen ◽

Guiyun Tian ◽

Wen Zeng ◽

Qi Huang ◽

...

Keyword(s):

Flow Rate ◽

Flow Measurement ◽

Research Result ◽

Electromagnetic Flowmeter ◽

Low Flow ◽

Interference Signal ◽

Electromagnetic Flow ◽

Differential Correlation ◽

Suppress Noise ◽

Low Flow Rate

Under the conditions of low flow rate and strong noise, the current electromagnetic flowmeter (EMF) cannot satisfy the requirement for measurement or separate the actual flow signal and interference signal accurately. Correlation detection technology can reduce the bandwidth and suppress noise effectively using the periodic transmission of signal and noise randomness. As for the problem that the current anti-interference technology cannot suppress noise effectively, the noise and interference of the electromagnetic flowmeter were analyzed in this paper, and a design of the electromagnetic flowmeter based on differential correlation detection was proposed. Then, in order to verify the feasibility of the electromagnetic flow measurement system based on differential correlation, an experimental platform for the comparison between standard flow and measured flow was established and a verification experiment was carried out under special conditions and with flow calibration measurements. Finally, the data obtained in the experiment were analyzed. The research result showed that an electromagnetic flowmeter based on differential correlation detection satisfies the need for measurement completely. The lower limit of the flow rate of the electromagnetic flowmeter based on the differential correlation principle could reach 0.084 m/s. Under strong external interferences, the electromagnetic flowmeter based on differential correlation had a fluctuation range in output value of only 10 mV. This shows that the electromagnetic flowmeter based on the differential correlation principle has unique advantages in measurements taken under the conditions of strong noise, slurry flow, and low flow rate.

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Flow Measurement of Oil-Water Two-Phase Flow at Low Flow Rate Using the Plug-in Conductance Sensor Array

Sensors ◽

10.3390/s19214649 ◽

2019 ◽

Vol 19 (21) ◽

pp. 4649 ◽

Cited By ~ 1

Author(s):

Jin ◽

Zhou ◽

Liang ◽

Wang ◽

Zhai ◽

...

Keyword(s):

Flow Rate ◽

Cross Correlation ◽

Two Phase Flow ◽

Low Flow ◽

Phase Flow ◽

Two Phase ◽

Dispersed Oil ◽

Oil In Water ◽

Oil Water ◽

Low Flow Rate

In order to improve the flow measurement accuracy of oil-water two-phase flow at low flow rate, this paper presents a plug-in conductance sensor array (PICSA) for the measurement of water holdup and cross-correlation velocity. Due to the existence of the insert body in PICSA, the effect of slippage and the non-uniform distribution of dispersed phase on the measurement of oil-water two-phase flow at low flow rate can be reduced. The finite element method is used to analyze the electric field distribution characteristics of the plug-in conductance sensor, and the sensor geometry is optimized. The dynamic experiment of oil-water two-phase flow is carried out where water cut Kw and mixture velocity Um are set in the range of 10–98% and 0.0184–0.2580 m/s respectively. Experimental results show that the PICSA has good resolution in water holdup measurement for dispersed oil-in-water slug flow (D OS/W), transition flow (TF), dispersed oil-in-water bubble flow (D O/W) and very fine dispersed oil-in-water bubble flow (VFD O/W). In addition, the cross-correlation velocity of the oil-water two-phase flow is obtained by using the plug-in upstream and downstream conductance sensor arrays. The relationship between the cross-correlation velocity and mixture velocity is found to be sensitive to the change of flow pattern, but it has a good linear relationship under the same flow pattern. Based on the flow pattern identification, a good prediction result of the mixture velocity is obtained using kinematic wave theory. Finally, a high precision prediction of the individual phase volume fraction of oil-water two-phase flow at low flow rate is achieved by using the drift flux model.

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