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Frequency division diffusion filter fault strengthening method based on optimized Morlet wavelet

A technology of diffusion filtering and tomography, which is applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve the problems that the waveform and spectrum cannot match the seismic wavelet waveform and spectrum at the same time, and the resolution of frequency division results is low, so as to avoid multiple inputs The effect of output and attribute extraction, improving efficiency, improving resolution and accuracy

Active Publication Date: 2019-04-23
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

At present, Morlet wavelet has good local performance, and when the main frequency of Morlet wavelet is greater than 1Hz, it approximately satisfies the allowable condition. It is widely used in the wavelet frequency division of seismic data, but the traditional Morlet wavelet and the improved Morlet wavelet Both have the problem that their waveform and spectrum cannot match the waveform and spectrum of the seismic wavelet at the same time, resulting in low resolution of frequency division results

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  • Frequency division diffusion filter fault strengthening method based on optimized Morlet wavelet
  • Frequency division diffusion filter fault strengthening method based on optimized Morlet wavelet
  • Frequency division diffusion filter fault strengthening method based on optimized Morlet wavelet

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[0054] In order to make the above and other objects, features and advantages of the present invention more comprehensible, the preferred embodiments are listed below and shown in the accompanying drawings in detail as follows.

[0055] Such as figure 1 as shown, figure 1 It is a flow chart of the method for reconstructing fault enhancement processing based on frequency division diffusion filtering based on optimized Morlet wavelet of the present invention.

[0056] Step 1: Convert the post-stack seismic data into a data format recognizable by MATLAB;

[0057] Step 2: Spectrum analysis of seismic data by fast Fourier transform, seismic wavelet extraction by Geoframe software; figure 2 Seismic wavelets and spectra extracted from actual seismic data are shown.

[0058] Step 3: Refer to the spectral characteristics of seismic data and the waveform characteristics of seismic wavelets, improve the Morlet wavelet mother function, and construct an optimized combination of Morlet w...

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Abstract

The invention provides a frequency division diffusion filter fault strengthening method based on optimized Morlet wavelet. The method comprises the following steps: converting post-stack seismic datainto an MATLAB identifiable data format; carrying out spectral analysis on seismic data and extracting the wavelet; improving a Morlet wavelet generating function and constructing a Morlet wavelet function composition; carrying out wavelet frequency division processing by utilizing the optimized Morlet wavelet; calculating a structural tensor of the post-stack seismic data and further constructingnew fault factors based on the structural tensor; under the protection of the structural tensor, carrying out anisotropic diffusion filter on frequency division seismic data; and carrying out waveletinverse transformation on a frequency division filter result and reconstructing to obtain improved signal-to-noise ratio and resolution ratio and protect the seismic data of fault information. The method has the advantages that the resolution ratio of the seismic data is improved while denoising and edge protecting are realized, so that the low-order fault recognition ability of the seismic datais improved.

Description

technical field [0001] The invention relates to the technical field of oil field development, in particular to a frequency division diffusion filter fault strengthening method based on optimized Morlet wavelet. Background technique [0002] In the process of seismic data acquisition, it is unavoidable to be affected by factors such as sensor sensitivity, field noise interference, and digital-to-analog conversion quantization problems, resulting in low signal-to-noise ratio of seismic data, which brings great difficulties to subsequent structural interpretation. Aiming at the problem of noise suppression in conventional post-stack seismic data, scholars at home and abroad have carried out a lot of research and proposed methods such as median filtering, Gaussian filtering, and time-frequency domain filtering. The above method is effective in noise suppression, but since the local direction information of seismic reflection cannot be recognized, the edge information will be des...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36
CPCG01V1/364G01V2210/324
Inventor 周海廷刘显太杜玉山王建武刚赵开连黄超房环环谭琴辉
Owner CHINA PETROLEUM & CHEM CORP
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