基于EEMD与ICA的油井声波信号去噪方法研究

The well acoustic signal denoising method research based on EEMD and ICA

针对声波法测油井动液面过程中,声波信号受油套环空中噪声的影响,出现反射声波信号不易辨识的问题。本文提出将总体经验模态分解和独立分量分析相结合的去噪方法,进而分离出反射声波信号和噪声信号。实验表明,该方法在复杂噪声干扰下,有效地分离出反射声波信号,提高目标信号的信噪比,证明该方法在油井声波信号处理中的有效性。

For acoustic method in the process of oil well working fluid level measurement,acoustic signal is affected by oil thimble air noise,thus the reflection of acoustic signal is not easy to identify. This paper puts forward the ensemble empirical mode decomposition and independent component analysis with the combination of denoising method to achieve separation of the reflected acoustic signals and random noise signal. Experiments show that the method under the complex noise interference can effectively isolate the reflected sound wave signal and improve the signal-to-noise ratio of the target signal,so it proveds the effectiveness of this method in the well acoustic signal processing.