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传统的高密度电阻率信号多采用平均或线性平滑方法进行降噪,效果往往不够理想。本文通过建立低阻球体的正演模型,选取sym4小波作为降噪小波,并采用软阈值和分解层数为四层的降噪处理方法,对原始信号进行降噪,然后再对降噪后的曲线进行数据反提取,最终再利用高密度电阻率法反演软件(Res2dinv)进行反演,对比其反演结果表明,利用小波降噪后的效果比较理想。最后结合工程实例,验证了小波变换降噪技术的可行性和实用性。
Traditional high-density resistivity signals are mostly denoised using average or linear smoothing methods, and the effect is often not satisfactory. In this paper, the forward model of low-resistance sphere is established, the sym4 wavelet is selected as the noise-reduction wavelet, and the noise reduction method with four thresholds of soft threshold and decomposition level is adopted to reduce the noise of the original signal. Then, Then the data were retrieved by Res2dinv software. Compared with the inversion results, it is found that the wavelet denoising is more effective. Finally, with the engineering examples, the feasibility and practicability of wavelet transform denoising technology are verified.