Seismic signal high resolution processing method based on CEEMD (Complementary Ensemble Empirical Mode Decomposition)

A seismic signal, high-resolution technology, applied in the field of seismic exploration, can solve problems such as incompleteness and increased computing costs

Active Publication Date: 2017-08-29
沃肯仕能源科技(北京)有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

While inheriting the advantages of EMD decomposition, this method can effectively solve the problem of modal aliasing in the EMD method, but it reduces the reconstruction error by increasing the average times, which is at the cost of increasing the calculation cost, and it does not It is complete, and there is also the influence of residual noise in the signal reconstruction process

Method used

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  • Seismic signal high resolution processing method based on CEEMD (Complementary Ensemble Empirical Mode Decomposition)
  • Seismic signal high resolution processing method based on CEEMD (Complementary Ensemble Empirical Mode Decomposition)
  • Seismic signal high resolution processing method based on CEEMD (Complementary Ensemble Empirical Mode Decomposition)

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Experimental program
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Embodiment 1

[0104] Embodiment 1: see figure 1 to Figure 5.

[0105] like figure 1 A high-resolution processing method for seismic signals based on CEEMD is shown, including the following steps:

[0106] (1) Obtain the seismic profile, obtain the average amplitude spectrum of the profile, analyze the effective frequency band range of the average amplitude spectrum, determine the thresholds of low pass, low cut, high pass, and high cut according to the frequency band range, and arrange them into a threshold set G, and at the same time The threshold G can be corrected by referring to the amplitude spectrum of several randomly selected single-trace seismic signals, where the seismic section is composed of single-trace seismic signals, and the single-trace seismic signals are time-domain Signal;

[0107] Referring to Fig. 2, actual data 1 is a seismic section with 3001 sampling points, 461 traces, and 2ms sampling time. from Figure 2a It can be seen that the frequency range of the averag...

Embodiment 2

[0154] Embodiment 2: in step (3), according to the feature of IMF component, utilize correlation coefficient-threshold method to determine threshold value H, by the screening of threshold value H, IMF component is divided into IMF component and other IMF components in effective frequency band, method schematic diagram see Figure 5b As shown, the specific method is:

[0155] (31) Calculate the correlation degree Q between each IMF component and the original seismic trace signal, namely

[0156]

[0157] where Q(j) represents the degree of correlation between the jth IMF signal and the original seismic signal,

[0158] (32) Calculate the ρ value by the following formula to obtain the threshold H;

[0159]

[0160] ρ H =max(ρ j ),j=2,3,...M

[0161](33) According to the IMF components decomposed by CEEMD, they meet the characteristics of being arranged in order from high frequency to low frequency, and the position of the threshold H is H=max(ρ j ) corresponding to t...

Embodiment 3

[0164] Embodiment 3: see Figure 6a-6d , Figure 6a 6 is the profile before high-resolution processing of actual data 1, and 6c is the spectrum curve before high-resolution processing in this area. Figure 6b 6d is the high-resolution processing profile of the actual data 1, and 6d is the frequency spectrum graph after high-resolution processing in this area. Through the analysis of the profiles and spectrum curves before and after the processing of the actual data 1, it can be seen that through the technical solution in the embodiment of the present invention, the resolution of the entire profile is significantly improved, and the information that is difficult to directly distinguish in the profile before processing becomes Clear, and distinguish some thin-bed areas, the spectral bandwidth of the seismic section is obviously widened, and the main frequency is significantly increased.

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Abstract

The invention discloses a seismic signal high resolution processing method based on CEEMD (Complementary Ensemble Empirical Mode Decomposition). The method comprises steps of determining the threshold set G according to the average amplitude spectrum of the seismic profile; decomposing single-channel seismic signals with CEEMD to obtain IMF components; determining the threshold H using the correlation coefficient-threshold method; selecting the IMF components in the effective frequency band by the threshold H to perform superposition; performing high resolution processing on the superimposed IMF components with the threshold set G again; reconstructing the processed IMF components and the remaining IMF components to obtain a high resolution processed seismic signal; and processing the remaining seismic signals channel by channel to obtain a high resolution seismic profile. The present invention determines the threshold set G by calculating the average amplitude spectrum of the seismic profile to avoid random interference caused by use of only standard seismic data. Through the threshold H, the IMF components in the effective frequency band are selected to be superimposed and are subjected to the high resolution processing to reduce the influence of noise on the seismic signal resolution.

Description

technical field [0001] The invention relates to the field of seismic exploration, in particular to a method for high-resolution processing of seismic signals based on CEEMD. Background technique [0002] Seismic exploration is an exploration method that uses the difference in elasticity and density of underground media to infer the nature and shape of underground rock formations by observing and analyzing the propagation law of seismic waves generated by artificial earthquakes in the ground. Among them, the above-mentioned seismic wave is affected by ground filtering, surrounding noise, etc. during the propagation process, which leads to the problem that the resolution of the seismic signal received on the surface is reduced. Seismic signal resolution is the key factor for obtaining stratum details in seismic exploration, and it is of great significance to study thin layers or small geological bodies. Therefore, it is particularly important to reasonably and effectively impr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/32
CPCG01V1/32
Inventor 陈辉卢柃岐徐丹胡英冯俊李为康佳星陈元春周心悦
Owner 沃肯仕能源科技(北京)有限公司
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