Data processing method for magnetotelluric sounding based on cepstral analysis

Frontiers in Earth Science

Earth Science

Yang Liu¹  Qining Zhan¹  Cai Liu¹  Pengfei Zhao² 

[1] College of Geo-exploration Science and Technology, Jilin University, Changchun, China;null;

关键词: magnetotelluric;    cepstral analysis;    data processing;    spectral smoothing;    signal denoising;   

DOI  :  10.3389/feart.2023.1183188

 received in 2023-03-09, accepted in 2023-10-03,  发布年份 2023

来源: Frontiers

【 摘 要 】

Magnetotelluric (MT) signals exhibit the characteristics of being weak and having a wide frequency band. The acquired field data are susceptible to various types of noise, which poses challenges in accurate identification and processing. Currently, there exist numerous MT data processing methods; however, they lack efficiency and physical meaning. To address this issue and improve the signal-to-noise ratio of the acquired data, this study proposes a MT data processing method based on cepstral analysis. By employing cepstral analysis on the MT data, the cepstrum is obtained, and an appropriate truncation position is selected for processing. The experimental results demonstrate that this method obtains smoother and more continuous apparent resistivity curves with fewer errors. Compared with other methods, the cepstral analysis method can effectively suppress different types of MT noise, and the method is simple and efficient with clear physical significance.

【 授权许可】

Unknown   
Copyright © 2023 Zhan, Liu, Liu and Zhao.