Seismic signal noise suppression method based on CEEMDAN and Savitzky-Golay filtering

Abstract

The invention belongs to the field of seismic signal processing and is a seismic signal noise suppression method based on CEEMDAN and Savitzky-Golay filtering. The method comprises following steps: providing a noisy seismic signal to be processed as an original noisy seismic signal s(t) (t=1,...,L) input to the entire system, wherein L is the sampling point of the seismic signal; performing CEEMDAN algorithmic decomposition on the input noisy seismic signal s(t) to obtain multiple IMF components as shown in the description and residual components rN(t); arranging the IMF components as shown inthe description from high frequency to low frequency sequentially, and determining a boundary M between the noise and the signal by calculating the correlation coefficient between the IMF component and the original noisy seismic signal s(t); finding the IMF component as shown in the description which mainly contains noise signal in the IMF component, the IMF component which contains noise signalas shown in the description serving as an input signal and sending to the SG filter for further smoothing to obtain the filtered signal as shown in the description; and reconstructing the data to obtain a denoised seismic signal as shown in the description. According to the seismic signal noise suppression method based on CEEMDAN and Savitzky-Golay filtering, the mode mixing problem in the mode decomposition method based on traditional experience can be solved; the quality of the seismic signal is improved; and seismic data with a higher signal-to-noise ratio is obtained.

Description

technical field [0001] The invention belongs to the field of seismic signal processing, and relates to a seismic signal noise suppression method based on CEEMDAN and Savitzky-Golay filtering. Background technique [0002] Seismic exploration method is one of the main means of oil and gas exploration, and it will be disturbed by noise when collecting seismic data. Therefore, it is necessary to preprocess the collected noise-containing seismic signals to extract useful information and remove interference. Further research on the processed seismic signal with a higher signal-to-noise ratio can improve the accuracy of seismic signal first-arrival picking, source location and other applications. The absorption of the formation causes the seismic wave energy to attenuate with the propagation distance, and the absorption intensity and frequency selectivity of different formations are also different, so the seismic signal has the characteristics of non-stationarity, short-term, and...

AI Technical Summary

Problems solved by technology

The traditional EMD filtering method uses high-frequency IMF to achieve seismic signal noise suppression, which will cause the loss of effective seismic signals

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