Seismic Signal Denoising Method based on CEEMDAN and Wavelet Threshold
In this paper,the adaptive noise complete set empirical mode decomposition(CEEMDAN)method is used to analyze and preprocess seismic data,and decompose the seismic signal into a series of intrinsic mode functions IMF with different characteristic time scales;Perform autocorrelation calculation on each IMF component,filter out noisy components,and use wavelet hard threshold to denoise noisy IMF components;Reconstruct the denoised and non noisy components to reduce noise interference,effectively extract feature components,discover useful stratigraphic information,obtain high-quality data,and better serve seismic monitoring.
万方数据
维普
