Open AccessFourier transform and correlation analysis for CSEM data processing
Author(s) -
Guang Li,
Congcong Xu,
Jin Li,
Liangyin Mu,
Huangzhou Lin,
Jinjian He,
Jun Liu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022105
Subject(s) - fourier transform , computer science , fast fourier transform , data processing , short time fourier transform , noise (video) , fractional fourier transform , frequency domain , correlation , algorithm , spectral density , fourier analysis , artificial intelligence , mathematics , telecommunications , computer vision , database , mathematical analysis , geometry , image (mathematics)
Controlled Source Electromagnetic Method (CSEM) has the advantages of large depth of exploration and high efficiency. It has a wide range of applications in resource exploration and engineering surveys. However, CSEM data is often contaminated by strong cultural noise. In this paper, a novel method for CSEM data processing is proposed by combining the Fourier transform and correlation analysis. First, the observed data is performed by the Fourier transform, and the power-line noises are accurately removed in the frequency-domain. Second, the inverse Fourier transform is performed to the de-noised spectrum. Third, the correlations between transmitted and received data are calculated to quantitatively evaluate the data quality. Finally, high quality received data are selected by setting a proper threshold of correlation. We applied our approach to measured CSEM data. As a conclusion, the results obtained using our scheme are greatly improved over the previous.