Amplitude-preserved boundary-protected signal-noise enhancement method based on linear inversion

A linear inversion and amplitude-preserving technology, applied in the field of oil and gas geophysical exploration, can solve the problems affecting the quality of seismic data, difficult to take into account high signal-to-noise ratio and high fidelity, unfavorable structural boundary information protection, etc., to achieve the protection of structural information, The effect of strong smoothing and protection of structural boundaries

Active Publication Date: 2018-08-17
OIL & GAS SURVEY CGS +1
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Problems solved by technology

[0005] Although the conventional denoising method with fast calculation can achieve the effect of improving the signal-to-noise ratio, it is often not conducive to the protection of structural boundary information and affects the quality of seismic data, especially in exploration areas with complex structures. Therefore, it is often difficult to balance high signal-to-noise ratio and high fidelity in the processing process, which requires in-depth research to find a balance point between protected structure information and noise attenuation. Under the premise of improving the signal-to-noise ratio of seismic data as much as possible

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  • Amplitude-preserved boundary-protected signal-noise enhancement method based on linear inversion
  • Amplitude-preserved boundary-protected signal-noise enhancement method based on linear inversion
  • Amplitude-preserved boundary-protected signal-noise enhancement method based on linear inversion

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Embodiment 1

[0040] Such as figure 1 as shown, figure 1 a is a noise-free seismic data, figure 1 b is a seismic data with 50% random noise added; the noisy seismic data is processed by using the conventional linear denoising method and the signal-to-noise enhancement method based on linear inversion in the present invention.

[0041] In the conventional linear denoising method, the calculation formula of the noise-free data u is as follows

[0042]

[0043] The calculation formula for solving the objective function u by using the least square method is as follows

[0044] u=(I+λ(D t T D. t +D x T D. x )) -1 d (Formula 7);

[0045] Among them, I represents the identity matrix, D t and D x is the forward difference operator, D t T and D x T is the backward difference operator.

[0046] If the parameter λ=1.6 is set, the processed seismic data u can be obtained by formula (7) using the conventional linear denoising method, as figure 1 As shown in c; the removed noise data...

Embodiment 2

[0051] Such as Figure 4 as shown, Figure 4 a is a field seismic data containing noise, which is processed by the conventional linear denoising method and the signal-to-noise enhancement method based on linear inversion proposed by the present invention.

[0052] In the conventional linear denoising method, the calculation formula of the noise-free data u is as follows

[0053]

[0054] The calculation formula for solving the objective function u by using the least square method is as follows

[0055] u=(I+λ(D t T D. t +D x T D. x )) -1 d (Formula 7);

[0056] Among them, I represents the identity matrix, D t and D x is the forward difference operator, D t T and D x T is the backward difference operator.

[0057] Use the conventional linear denoising method to calculate the processed seismic data. If the parameter λ=3 is set, then the processed seismic data u can be obtained by calculating (Equation 7) as Figure 4 Shown in b; the removed noise data is giv...

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Abstract

The invention discloses an amplitude-preserved boundary-protected signal-noise enhancement method based on linear inversion. The method comprises the steps of (1) introducing a Schwartz function to construct smoothing weights mux(t,x) and mut(t,x), (2) constructing a target function based on a boundary-protected noise reduction target, (3) solving an optimization problem of the target function byusing a least square method and deducing an expression of u, (4) artificially setting parameters lambda and k according to an experience, then calculating and obtaining At and Ax according to calculation formulas of mux(t,x) and mut(t,x), and inputting noisy seismic data d into a calculation formula of the target function u to obtain u, and (5) carrying out quality control through comparing and processing noise ratios and amplitude spectrums of previous and later seismic data. Compared with the prior art, the method has the advantages that the gradient information of the seismic data along t and x directions is used, the Schwartz function is introduced, a smooth weight is constructed, so that the smooth weight of the seismic data at a small gradient part is large, the smooth weight at a large gradient part is small, and thus the purposes of enhancing a signal to noise ratio and protecting construction information are achieved. Furthermore, the method is based on linear inversion, and the calculation is simple and quick.

Description

technical field [0001] The invention relates to the technical field of oil and gas geophysical exploration, in particular to seismic data processing, and is an amplitude-preserving and boundary-preserving signal-noise enhancement method based on linear inversion. Background technique [0002] Among the three high requirements of seismic data "high signal-to-noise ratio, high resolution, and high fidelity", high signal-to-noise ratio is the basic requirement for indoor data processing, which is of great significance to the subsequent processing and comprehensive interpretation of seismic data. How to suppress or remove noise under the premise of preserving the amplitude has always been one of the hot spots of scholars' research. As oil and gas exploration continues to advance to complex areas on the surface, noise interference becomes more and more serious. Due to the limitation of resolution in seismic exploration and the existence of various noises, it is not easy to ident...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
Inventor 马彦彦梅岩辉马勇胜韦婉婉袁三一李昭田玉昆
Owner OIL & GAS SURVEY CGS
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