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Desert seismic exploration random noise eliminating method based on noise modeling analysis

A seismic exploration and random noise technology, applied in seismology, seismic signal processing, geophysical measurement, etc., can solve the problems of not being able to fully describe the propagation characteristics, ignoring the complex physical factors of the actual propagation medium, etc., and achieve the effect of good fitting effect.

Inactive Publication Date: 2019-07-09
JILIN UNIV
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  • Application Information

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Problems solved by technology

[0003] The present invention provides a random noise reduction method for desert seismic exploration based on noise modeling analysis, to solve the problem that the existing modeling method ignores the complex physical factors of the actual propagation medium and thus cannot fully describe the propagation characteristics, so as to provide a basis for subsequent noise reduction Method selection provides valid basis and necessary synthetic data

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  • Desert seismic exploration random noise eliminating method based on noise modeling analysis
  • Desert seismic exploration random noise eliminating method based on noise modeling analysis
  • Desert seismic exploration random noise eliminating method based on noise modeling analysis

Examples

Experimental program
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experiment example 1

[0110] Experimental example 1 The present invention establishes the accuracy of random noise model

[0111] A random noise model proposed by the invention is used to establish a simulated noise record of 50 tracks, each track has 800 sampling points, and the track spacing is 15m. As shown in Figure 2(b), and compared with the real desert random noise record in Figure 2(a), it can be seen that the simulated random noise model of the present invention is basically consistent with the actual noise waveform, and compared with the model established in a homogeneous medium The random noise model in Fig. 2(c), the noise proposed by the present invention is more similar to the actual noise. Fig. 3 is the result obtained by separately calculating the FK spectrograms for the three records in Fig. 2. It can be seen that in terms of energy distribution, the random noise model proposed by the present invention is basically consistent with the actual situation. Fig. 4 calculates the averag...

experiment example 2

[0112] Experimental Example 2 Use the random noise model to determine the appropriate filtering method

[0113] In order to prove that the noise-containing synthetic record constituted by the present invention can be used to select a filtering algorithm, two algorithms are selected and applied to the synthetic seismic exploration record. The composite record contains two bent axes of varying degrees and two broken axes. The track spacing is 15m, and the frequency is 800Hz. The main frequency of the shallow seismic wavelet is 25Hz and the velocity is 1800m / s, while the main frequency of the deep seismic wavelet is 20Hz and the velocity is 2000m / s. The main frequency of the two off-axis seismic wavelets is 20Hz, and the velocity is 1800m / s. Adding the random noise model established by the present invention to the synthetic record to obtain a noisy synthetic record is shown in Figure 6(a).

[0114] The denoising method shearlet is selected to be applied to the noisy records sy...

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Abstract

The invention relates to a desert seismic exploration random noise eliminating method based on noise modeling analysis, and belongs to the technical field of physical geography. The desert seismic exploration random noise eliminating method comprises the following steps: building a noise-containing synthetic record; building desert seismic exploration random noise model; taking a natural noise function, a near-field human noise function, and a far-field human noise function as excitation functions of the wave function; solving a wave equation with a green function to obtain a noise field of the natural noise, a noise field of a near-field human noise and a noise field of a far-field human noise; overlapping the noise field of the natural noise, the noise field of the near-field human noiseand the noise field of the far-field human noise to obtain a desert area random noise model; and determining a proper filtering method for filtering and denoising by using the random noise model. Through adoption of the desert seismic exploration random noise eliminating method, a shearlet variable threshold denoising method finally determined based on the noise modeling is suitable for eliminating the desert seismic exploration noise; the signal-to-noise ratio of the seismic exploration data is improved; the effective signal can be recovered accurately; and the interpretation of subsequent seismic data is effectively facilitated.

Description

technical field [0001] The invention belongs to the technical field of geophysics, aims at the complex performance of the non-uniformity of the propagation medium on the physical characteristics of wave field propagation, analyzes the cause of random noise and establishes a random noise model, and finally uses the random noise model to guide the selection of a suitable noise reduction method. Background technique [0002] In seismic exploration signal processing, random noise seriously affects the acquisition of effective signals, so the research and modeling of random noise is the first step in signal processing. Through the analysis of random noise properties and noise modeling, model parameters can be adjusted to simulate random noise under different conditions, and then suitable noise reduction methods can be selected for different noises. The closer the random noise model is to the actual noise, the more accurate the analysis of noise properties and the selection of fil...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36
CPCG01V1/364G01V2210/324
Inventor 李月冯黔堃杨宝俊董新桐
Owner JILIN UNIV
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