Seismic signal random noise suppression processing method

Abstract

The invention relates to a seismic signal random noise suppression processing method. The method includes the following steps that: original noisy seismic signal s(t) are decomposed by using an improved noise-adaptive complete set empirical modal decomposition method, so that a finite number of IMF components and residual components are obtained; an energy demarcation point l of effective signalsand noises in the IMF components of each order is determined according to a permutation entropy theory; and singular value decomposition and noise reduction processing is performed on the high-frequency IMF components of the (1-l)-th order with more noises; and the high-frequency IMF components which have been subjected to the secondary noise reduction processing, low-frequency IMF components which are not processed, and the residual components are accumulated and reconstructed, so that de-noised seismic signals can be obtained. According to the seismic signal random noise suppression processing method of the invention, a multi-step joint processing technology is adopted, and therefore, a seismic noise suppression processing effect can be effectively improved, the details of the lineups ofa seismic channel set can be improved, and conditions can be provided for subsequent seismic data processing, interpretation and forward and inverse calculation.

Description

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AI Technical Summary

Benefits of technology

This patented new technique improves upon existing techniques like XMAC (Xim) and FWI (fuzzy logic), allowing better detection of faulty parts within an image without compromised accuracy due to poorly identified interference patterns caused by background noises. By utilizing this approach, it allows us to efficiently separate different types of noise from images with varying levels of detail. Overall, these improvements enhance the quality of acquired seismograms through enhanced resolution capabilities such as waveform analysis.

Problems solved by technology

This patents discusses various techniques that use sound waves (seismics) during drilling operations to detect subterranean formations or other features related to hydrocarbon accumulation. However, there may also exist challenges associated with analyzing and interpreting signals obtained through seismography due to unwanted interferences between certain types of sounds caused by factors like environmental influences or physical processes involved in the drill bit' s movement.

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