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.
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