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Seismic data reconstruction method

A technology of seismic data and repeated steps, which is applied in seismic signal processing and other directions, can solve problems such as inability to denoise processing, and achieve the effects of thorough noise suppression, good amplitude preservation, and enriched research space

Inactive Publication Date: 2015-02-18
李闯
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Problems solved by technology

However, none of the current methods, including singular value decomposition, can perform denoising simultaneously with data reconstruction.

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Embodiment Construction

[0028] In order to make the objects, features and advantages of the present invention more comprehensible, preferred embodiments are listed below, together with the accompanying drawings, and described in detail as follows.

[0029] Select synthetic seismic data, use a sampling operator T to remove about 50% of the seismic traces, and add random noise of 50% of the effective signal, the number of seismic data sampling points is 72, and the time sampling interval is 0.02s, a total of 100 Road, such as figure 2 Shown; select the appropriate calculation parameters, specifically: a i =0.8,k max = 3,k initol = 1;

[0030] (1) Transform seismic data from time domain to frequency domain;

[0031] (2) each frequency component is inserted in the Hankel matrix;

[0032] (3) Singular value decomposition is performed on the Hankel matrix, and k singular values ​​are intercepted for reconstruction;

[0033] (4) Rank subtraction (truncating k singular values) to obtain the approximat...

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Abstract

The invention provides a seismic data reconstruction method. According to the method, after acquired, seismic data is subjected to Fourier transform; in a time-frequency domain, the seismic data is subjected to singular value decomposition and truncation treatment; in a frequency domain, the seismic data which is Hankel matrixed is subjected to singular value decomposition and truncation treatment. At the premise of causing little damage to valid signals, random noise can be suppressed, and the seismic data with missing channels can be subjected to interpolation; the difference in vibration amplitude between an interpolated signal and an original signal decreases nonstop with iteration; the use of step interpolation leads to improved coherence of the seismic data. Denoising and interpolation are performed through singular value decomposition in the time-frequency domain, the defect that simultaneous denoising and interpolation is unavailable in the conventional method is overcome, loss of the valid signals during denoising can be effectively reduced, and relative amplitude preservation is available.

Description

technical field [0001] The invention relates to geophysical exploration seismic data processing, in particular to a seismic data reconstruction method. Background technique [0002] In the design of seismic data acquisition, the positions of shot points and receiver points are usually placed under a regular grid, but due to the constraints of field terrain conditions, the positions of receiver points are usually irregular, which leads to irregularities in seismic data Sampling, missing seismic traces. At the same time, in the acquisition process, it is inevitable to collect random noise interference caused by the environment and human beings. Although superposition processing can remove part of the random noise, noise residues and missing traces are still common in seismic data. Most imaging methods are not suitable for irregular seismic data, which will greatly affect the imaging effect and later interpretation results. [0003] Methods for data reconstruction generally i...

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Application Information

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IPC IPC(8): G01V1/36
Inventor 李闯黄建平郭书娟段心彪李庆洋李振春李继光赵胜天
Owner 李闯
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