Seismic data noise reduction method

A seismic data and noise reduction technology, applied in seismology, seismic signal processing, geophysical measurement, etc., can solve the problems of noise removal, earthwormization, time-consuming and laborious, etc., and achieve the effect of removing regular noise.

Active Publication Date: 2018-11-16
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] The existing research work is mainly integrated in the noise reduction of random noise. There are a lot of research work in this area, which can be divided into two categories: (1) Time-domain filtering methods: such as classical structure-oriented filtering, median filtering, edge-preserving filtering etc.; (1) Transform domain method: including commonly used tau-p transform, Radon transform, f-x domain filter, eigenimage filter, EMD, decomposition based on wavelet transform, radial trace domain and curvelet transform for removal. The operation on the transform domain coefficients w...

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Embodiment Construction

[0065] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0066] The purpose of the present invention is to propose a seismic data denoising method that can effectively remove regular noise while suppressing random noise. Since seismic data has two characteristics: (1) such as figure 1 As shown, clean seismic data has low-rank characteristics, and any noise will destroy the correlation of seismic data, thereby destroying the low-rank structure of seismic data; (2) Seismic random noise is band-limited Gaussian white noise, which can also be The noise is approximately Gaussian distribution, and regular noise can be generally regarded as non-Gaussian distribution noise. Based on the above two characteristics, the invention transforms the innovation of the simultaneous removal method of random and regular ...

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Abstract

The present invention discloses a seismic data noise reduction method. For the seismic data noise reduction problem, the method comprises the steps of: S1, employing a robust Huber norm to replace anerror item of a target function to obtain the target function based on the Huber norm; S2, introducing a schatter p<-> norm into the target function obtained in the steps to obtain the target functionbased on the schatter p<-> norm; and S3, performing solution of the target function obtained in the step S2 to obtain robust estimation of a Hankel matrix. The seismic data noise reduction method caneffectively remove regular noise while suppressing random noise.

Description

technical field [0001] The invention belongs to the field of seismic data processing, in particular to a seismic data noise reduction technology. Background technique [0002] Seismic exploration is an important means to develop resources such as mineral deposits, oil and natural gas. In the process of exploration, the data will inevitably be affected by various factors, resulting in the presence of various types of noise in the collected data: for example, the amplitude and frequency of seismic signals gradually decay during the propagation process, and during the data collection process Noise always exists, which will lead to the decrease of the signal-to-noise ratio of the real signal, so that the useful signal is lost in the noise, which will affect our analysis of geological information. Therefore, we need an effective noise reduction method to improve the quality of seismic data and improve the reliability of seismic exploration. [0003] The existing research work i...

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Application Information

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IPC IPC(8): G01V1/36
CPCG01V1/36G01V1/364G01V2210/32G01V2210/324
Inventor 李勇王绪本王彬杨凯何剑
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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