基于小波变换的稠油出砂信号去噪分析  

De-noising analysis of heavy oil sanding signals based on wavelet transform

作　　者：李兵祥[1] 樊超[2] 张维娜[1] 张微[1] 

机构地区：[1]西安石油大学,陕西西安710065 [2]陕西青年职业学院,陕西西安710068

出　　处：《电子测试》2011年第11期1-4,共4页Electronic Test

基　　金：陕西省教育厅项目"油气井出砂实时监测方法研究"资助(2010JK786)

摘　　要：石油生产过程中,出砂不仅导致设备损伤、产量下降,而且还会影响到油气井的寿命,所以采取合理的防砂、治砂措施是非常重要的。但是压电式超声波传感器检测的出砂信号,包含很强的流体噪声和电磁干扰信号,必须去除干扰才能得到有用信号。本文采用小波变换在MATLAB下进行仿真,并与傅里叶变换比较去噪效果,结果显示小波变换既能有效的去除噪声,又能保存信号中的有用信息。经过室内试验及现场试验得到的数据显示,小波变换具有很好的去噪效果。In the process of oil production, sand production not only lead to the equipment damage and reduce the production, but also can affect the life of the oil well, so take reasonable sand measurements and control is very important. But the signals detected by the piezoelectric ultrasonic sensor contain strong fluid noise and electromagnetic interference, in order to get the useful signals, the interferences must be removed. This paper uses wavelet transform, and simulate in the MATLAB, and compares the de-noising effects with the Fourier transform, the results show that the wavelet transform can effectively remove noises, and it also preserves the useful information of the signals. Through the data from laboratory test and field test show that the wavelet transform have very good de-noising effect.

关 键 词：压电式超声波传感器 小波变换 去噪 

分 类 号：TN911.4[电子电信—通信与信息系统]