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Acoustic sensor approaches for sand detection in sand–water two-phase flows

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Abstract The online measurement of the solid phase in sand–water two-phase flows is significant in industrial production processes, especially for oil production in old oilfields. To improve the existing limitations… Click to show full abstract

Abstract The online measurement of the solid phase in sand–water two-phase flows is significant in industrial production processes, especially for oil production in old oilfields. To improve the existing limitations in the detection of dilute solid particles in solid–liquid conveying systems, an acoustic sensor approach for sand detection in sand–water flows is developed and evaluated. This paper reports the application of a special acoustic sensor device to quantitatively survey sand–water flows in a pipeline. In this work, an acoustic focusing component is designed to assist a condenser microphone in detecting the sand signals. A time–frequency analysis method and characteristic sand frequency multiband digital filter method are presented to enhance the sand detection in water flows with strong background noise. Additionally, the real-time sand mass flow rate is calculated to check the quantitative analysis results for the monitored sand information. Furthermore, the calibrated reference sand signals are used to reduce the uncertainty in each measurement. An experimental investigation considers sand–water flows with sand contents ranging from 0.0292–0.204 wt% and sand sizes of 180–500 μm. To verify the reliability and accuracy of our acoustic sand detection method, two regions with different test conditions are examined. The results show that there is a good correlation (less than ± 15% uncertainty in bends and less than ± 10% uncertainty in impact regions) between the acoustic power spectrum and sand mass flow rate. Accordingly, the acoustic sensor approach can help to enhance the detection of the dilute solid phase in solid–fluid conveying systems, laying the foundation for quantitative particle detection in more complex multiphase flows.

Keywords: sand; detection; sand water; acoustic sensor; sand detection

Journal Title: Powder Technology
Year Published: 2017

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