<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Accurate sand flow rate measurement is needed to minimize the side effects of sand production in gas fields. There are concerns about the accuracy of sand flow measurement using the sand measuring devices available on the market. In this paper, ultrasonic sensors and discrete wavelet transform signal analysis method is used to measure the sand flow rate. It is found that the strength of the discrete wavelet coefficients in the frequency range of 15–62 kHz has a linear relationship with sand flow rate. This finding provides a new methodology to accurately measure sand flow rate. The proposed method does not need fluid velocity as a prerequisite for sand rate measurement, so it greatly simplifies the system design when flow meters are not used for fluid velocity measurement. Also, this method has a much simpler calibration procedure compared to that of the sand detectors commonly used in the industry.</p></abstract>

Accurate sand flow rate measurement is needed to minimize the side effects of sand production in gas fields. There are concerns about the accuracy of sand flow measurement using the sand measuring devices available on the market. In this paper, ultrasonic sensors and discrete wavelet transform signal analysis method is used to measure the sand flow rate. It is found that the strength of the discrete wavelet coefficients in the frequency range of 15–62 kHz has a linear relationship with sand flow rate. This finding provides a new methodology to accurately measure sand flow rate. The proposed method does not need fluid velocity as a prerequisite for sand rate measurement, so it greatly simplifies the system design when flow meters are not used for fluid velocity measurement. Also, this method has a much simpler calibration procedure compared to that of the sand detectors commonly used in the industry.

Improving sand flow rate measurement using the wavelet transform and ultrasonic sensors

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

running-head

Improving sand flow rate measurement using the wavelet transform and ultrasonic sensors:

Accurate sand flow rate measurement is needed to minimize the side effects of sand production in gas fields. There are concerns about the accuracy of sand flow...

Interval 1	500 kHz–1 MHz	Interval 4	62.5–125 kHz	Interval 7	7.8125–15.625 kHz
Interval 2	250–500 kHz	Interval 5	31.25–62.5 kHz	Interval 8	3.90625–7.8125 kHz
Interval 3	125–250 kHz	Interval 6	15.625–31.25 kHz	Interval 9	1.953125–3.90625 kHz

Improving sand flow rate measurement using the wavelet transform and ultrasonic sensors

Online veröffentlicht: 22. Feb. 2021

Seitenbereich: 1 - 13

Eingereicht: 24. Okt. 2020

DOI: https://doi.org/10.21307/ijssis-2021-001

Schlüsselwörter
Wavelet transform, Sand flow rate measurement, Ultrasonic sensor, Signal processing, Time-frequency domain

© 2021 H. Seraj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1:

Figure 2:

Figure 3:

Figure 4:

Figure 5:

Figure 6:

Figure 7:

Figure 8:

Figure 9:

Figure 10:

Figure 11:

Frequency intervals of wavelet transform.

Improving sand flow rate measurement using the wavelet transform and ultrasonic sensors

Online veröffentlicht: 22. Feb. 2021

Seitenbereich: 1 - 13

Eingereicht: 24. Okt. 2020

DOI: https://doi.org/10.21307/ijssis-2021-001

SchlüsselwörterWavelet transform, Sand flow rate measurement, Ultrasonic sensor, Signal processing, Time-frequency domain

© 2021 H. Seraj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1:

Figure 2:

Figure 3:

Figure 4:

Figure 5:

Figure 6:

Figure 7:

Figure 8:

Figure 9:

Figure 10:

Figure 11:

Frequency intervals of wavelet transform.

Schlüsselwörter
Wavelet transform, Sand flow rate measurement, Ultrasonic sensor, Signal processing, Time-frequency domain