Seismic attenuation qualitative estimation method based on self-adaptive optimal kernel time frequency distribution

A time-frequency distribution and optimal kernel technology, applied in the field of geophysical exploration, can solve the problems of time-consuming calculation, unstable results, time-frequency joint resolution limited by the uncertainty principle, etc.

Inactive Publication Date: 2013-10-23
XI AN JIAOTONG UNIV
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Problems solved by technology

The time-frequency analysis method of matching pursuit has a high time-frequency joint resolution, but the calculation is extremely time-consuming and the result is unstable. In addition, the result is affected by the selected dictionary
The results of commonly used continuous wavelet transform and generalized S transform are very stable, but their time-frequency joint resolution is limited by the uncertainty principle, and the time-frequency joint resolution at high frequency and low frequency is not, therefore, the influence analysis result

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  • Seismic attenuation qualitative estimation method based on self-adaptive optimal kernel time frequency distribution
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  • Seismic attenuation qualitative estimation method based on self-adaptive optimal kernel time frequency distribution

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Embodiment Construction

[0035] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] refer to figure 1 As shown, the present invention provides a method for qualitative estimation of earthquake attenuation based on adaptive optimal kernel time-frequency distribution, comprising the following steps:

[0037] 1) Acquisition of raw seismic data

[0038] The channel number, line number, and sampling point number time of the original seismic data are collected, and the collected original seismic data is preprocessed to obtain a post-stack seismic data volume, which is called the observation seismic data volume, denoted as S (x,y,t), where x represents the track number (x coordinate), y represents the line number (y coordinate), and t represents the sampling point number (time);

[0039] 2) Pick up the horizon of the seismic data target layer

[0040] Use commercial software to pick up, or directly obtain the target horizon and the horizon above th...

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Abstract

The invention discloses a seismic attenuation qualitative estimation method based on self-adaptive optimal kernel time frequency distribution. The method comprises the following steps of 1) collecting original seismic data; 2) picking a position of a seismic data target layer; 3) determining a high frequency fH and a low frequency fL; 4) calculating self-adaptive optimal kernel time frequency distribution for each signal in the superimposed seismic data body to obtain a high-frequency component and a low-frequency component; 5) determining a correction factor; and 6) estimating the seismic attenuation. According to the method, the self-adaptive optimal kernel time frequency distribution is firstly used for carrying out the time frequency decomposition of the seismic data to obtain the high-frequency component and the low-frequency component of the seismic data, and then the seismic attenuation is qualitatively estimated by utilizing the difference of the low-frequency component and the high-frequency component. Compared with the traditional seismic attenuation qualitative estimation method based on the time frequency distribution, the method has high time-frequency resolution ratio, and the seismic attenuation can be more precisely reflected; and in addition, the technical scheme is easy to realize, and the operability is strong.

Description

technical field [0001] The invention belongs to the field of geophysical exploration, and relates to a qualitative seismic attenuation estimation method, in particular to a qualitative seismic attenuation estimation method based on adaptive optimal kernel time-frequency distribution. Background technique [0002] Seismic waves propagate in the underground medium, and the scattering and absorption attenuation characteristics are related to frequency, so time-frequency analysis is an important means of seismic signal analysis. Fourier transform has been used in many applications in seismic signal processing, such as denoising, spectrum analysis, etc., so it is also a necessary technical module for commercial processing software. The windowed Fourier transform uses a moving window function to intercept the signal, and then performs Fourier transform on the signal in the analysis window. The joint time-frequency resolution of the windowed Fourier transform at high and low frequ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
Inventor 高静怀王晓凯陈文超
Owner XI AN JIAOTONG UNIV
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