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

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-01-01 DOI:10.21307/IJSSIS-2021-001

H. Seraj, B. Evans, M. Sarmadivaleh

引用次数: 0

Abstract

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.

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改进了用小波变换和超声波传感器测量砂流的方法

为了最大限度地减少油气田出砂的副作用，需要精确的出砂流量测量。市场上可用的测砂装置对砂流量测量的准确性存在担忧。本文采用超声波传感器和离散小波变换信号分析方法对砂流进行测量。研究发现，15 ~ 62 kHz频率范围内的离散小波系数强度与砂流速率呈线性关系。这一发现为精确测量出砂流量提供了一种新的方法。该方法不需要以流速作为测量出砂率的前提条件，在不使用流量计进行流速测量的情况下，大大简化了系统设计。此外，与行业中常用的砂探测器相比，该方法的校准程序要简单得多。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

审稿时长

8 weeks

期刊介绍： nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity