SNMF-2D time-frequency spectrum separation based desert low-frequency noise reduction method

A SNMF-2D, low-frequency noise technology, applied in seismology, instruments, measuring devices, etc., can solve the problems of low frequency, difficult to suppress, and complex random noise in desert areas, to achieve the elimination of random noise, good suppression effect, and complete Recovery effect

Inactive Publication Date: 2018-06-29
JILIN UNIV
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Problems solved by technology

[0004] The invention provides a desert low-frequency noise reduction method based on SNMF-2D time-spectrum separation to solve the problem that the random noise in the desert area is complex and low in frequency, which is difficult to suppress

Method used

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  • SNMF-2D time-frequency spectrum separation based desert low-frequency noise reduction method
  • SNMF-2D time-frequency spectrum separation based desert low-frequency noise reduction method
  • SNMF-2D time-frequency spectrum separation based desert low-frequency noise reduction method

Examples

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Effect test

experiment example 1

[0052] Experimental Example 1 Synthetic Seismic Records

[0053] First, a synthetic seismic record with 40 traces and 1024 points in each trace is generated by simulation, and random noise in the actual desert area is added. The obtained noisy seismic record is as follows: Image 6 As shown in (a), the signal-to-noise ratio is about -3.5dB, and the noisy seismic records are suppressed by using empirical mode decomposition (EMD), time-frequency peak filter (TFPF) and SNMF-2D time-spectrum separation method respectively processing, the result after processing is as Image 6 As shown in (b), (c) and (d), comparing the experimental results, it can be seen that the low-frequency random noise still exists after the TFPF method in figure (b) denoises, indicating that the suppression effect of this method on low-frequency random noise is poor. After the EMD method in Figure (c) denoises, part of the low-frequency random noise is suppressed, but there is still a part of the random noi...

experiment example 2

[0057] Experimental example 2 Actual desert seismic data

[0058] Next, select an actual seismic record of the common shot point in the desert area, such as Figure 7 As shown in (a), it can be seen from the figure that there are large fluctuations in the noisy record, and the change of the event shape is all caused by low-frequency noise; utilize the SNMF-2D spectrum separation method proposed in the present invention to contain Noise suppression is performed on noisy seismic data, and the processing results are as follows Figure 7 As shown in (b); in order to observe the denoising effect conveniently, we circled 4 representative areas, among which area A is the noise part before the first arrival, and it can be clearly seen that the low-frequency random noise before the first arrival has been effectively suppressed after processing , in area B and area C, the low-frequency noise caused large fluctuations in the event, after using SNMF-2D de-noising treatment, the large flu...

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Abstract

The invention provides an SNMF-2D time-frequency spectrum separation based desert low-frequency noise reduction method. decomposing a noise-containing seismic record into multiple sub-signals with different frequency bands; performing spectrum separation of the time-frequency spectra of the sub-signals with different frequency bands based on a SNMF-2D (two-dimensional sparse non-negative matrix factorization) algorithm, so as to sufficiently reduce the mixing degree of effective signal component and noise component; and performing inverse transformation of each separated sub-spectrum to obtaincorresponding sub-signal, and gathering the signal component-containing sub-signals into a signal class by using a clustering algorithm, so as to obtain an effective signal component. The comparisonresult between empirical mode decomposition EMD and time-frequency peak filtering TFPF verifies the effectiveness of the method provided by the invention in the aspects of suppressing desert low-frequency random noise and maintaining the reverse side of the effective component.

Description

technical field [0001] The invention belongs to the technical field of geophysics and is used for seismic signal processing and low-frequency noise suppression in desert areas. Background technique [0002] Seismic exploration is one of the effective means of energy extraction such as oil and natural gas. Random noise suppression is the key and important link in the process of seismic exploration signal processing, and the effect of noise suppression directly affects the subsequent parameter inversion and stratum structure analysis and other related work. my country has been exploiting oilfields in plains and basins for many years, while the exploitation of oilfields in desert areas (such as Tarim Oilfield) is still in its infancy. In addition, the occupied area and proven oil and gas reserves of oil fields in desert areas are larger than those of exploited oil fields, which have high exploitation value. However, the desert area is flat, covered by desert as a whole, and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36
CPCG01V1/36G01V1/364G01V2210/21G01V2210/32G01V2210/324
Inventor 田雅男李月吴宁林红波李默
Owner JILIN UNIV
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