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Seismic data random noise suppression method and system

A seismic data and random noise technology, applied in the field of seismic exploration, can solve non-optimal problems, achieve the effect of suppressing random noise, excellent denoising effect, and protecting structure

Inactive Publication Date: 2021-02-12
CHINA NAT OFFSHORE OIL CORP +1
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the objective function of non-negative matrix factorization is non-convex, and it is easy to fall into a non-optimal local minimum point when the noise is large.

Method used

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  • Seismic data random noise suppression method and system
  • Seismic data random noise suppression method and system
  • Seismic data random noise suppression method and system

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Embodiment Construction

[0054] The present invention will be described in detail below in conjunction with the accompanying drawings. However, it should be understood that the accompanying drawings are provided only for better understanding of the present invention, and they should not be construed as limiting the present invention.

[0055] Since the random noise suppression method for seismic data proposed in the present invention involves related content of self-spaced learning (SPL), the relevant content will be introduced below so that those skilled in the art can understand the content of the present invention more clearly.

[0056] The general formula for self-paced learning is:

[0057]

[0058] Among them, e(x) is the loss function, f(x) is the regular term, ω is the self-paced learning weight coefficient, h(ω, η) is the self-paced learning rule function, x is the variable to be optimized, ω i is the weight of the ith variable to be optimized, and l is the length of the variable to be op...

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Abstract

The invention relates to a seismic data random noise suppression method and system, and the method is characterized in that the method comprises the following steps: 1) obtaining original seismic data, and carrying out non-negative processing on the seismic data; 2) constructing a denoising model based on self-paced learning and non-negative matrix factorization according to the processed seismicdata; 3) solving the denoising model based on the self-paced learning and the non-negative matrix factorization by adopting an improved block coordinate descent method; and 4) performing inverse operation of non-negative processing in the step 1) on the obtained optimal solution to obtain denoised seismic data. The provided method can be widely applied to the technical field of seismic exploration.

Description

technical field [0001] The invention relates to a seismic data random noise suppression method and system, and belongs to the technical field of seismic exploration. Background technique [0002] With the development of acquisition systems and instruments, the increase in the number of data acquisition channels provides a basis for high-resolution seismic data, so that seismic data can obtain more information than travel time and geological structure. In order to effectively utilize this information, higher signal-to-noise ratio and fidelity must be required. For example, reservoir property estimation and inversion have higher requirements on pre-stack data bandwidth, amplitude and phase fidelity. Due to complex surface and terrain conditions, such as mountains, loess plateaus, rugged seabeds, deserts, Gobi and multi-stage superimposed structures, overthrust nappes, strong folds and other geological factors, various distortions and interferences are produced on seismic signa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36
CPCG01V1/362G01V2210/53
Inventor 张金淼高静怀姜秀娣赵小龙陈剑军桑淑云朱振宇翁斌王清振丁继才李振郑颖李超
Owner CHINA NAT OFFSHORE OIL CORP
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