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Tunnel seismic wave data denoising method and system based on time-frequency domain spectral subtraction

A technology of time-frequency domain and spectral subtraction, which is applied in the field of geophysical exploration, can solve the problems of complex and stable noise types, noise spectrum estimation errors, etc., and achieve the effect of reduction and removal, and realization of noise

Active Publication Date: 2021-01-05
SHANDONG UNIV +1
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Problems solved by technology

However, due to the complex types of noise in the tunnel, it is difficult to ensure that it remains stable in the time domain, which will easily lead to errors in noise spectrum estimation and the introduction of additional noise

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  • Tunnel seismic wave data denoising method and system based on time-frequency domain spectral subtraction

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[0039] The present disclosure will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0041] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

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Abstract

The invention provides a tunnel seismic wave data denoising method and system based on time-frequency domain spectral subtraction. The method comprises the following steps: acquiring sampling frequency information and an acquisition signal of noisy seismic record data; converting time domain data into a time-frequency domain; establishing a relationship between a filtering window length and a signal main frequency, and solving the optimal filtering window length; adaptively selecting a peak position and a variance of a Gaussian filter coefficient; respectively selecting wavelet coefficient matrixes of the last plurality of time windows in each frequency band to solve an average value as a noise spectrum estimation matrix; subtracting the noise spectrum estimation matrix in different frequency bands by using the Gaussian filter window added with the coefficient; and converting the wavelet coefficient matrix into a time domain to realize a time-frequency domain spectral subtraction denoising process. According to the invention, tunnel seismic wave data denoising is carried out through a time-frequency domain spectral subtraction method, the distinguishing capacity of a traditional spectral subtraction method in the frequency direction is optimized, and noise reduction and removal in the tunnel environment are achieved.

Description

technical field [0001] The disclosure belongs to the field of geophysical exploration, and in particular relates to a method and system for denoising tunnel seismic wave data based on time-frequency domain spectrum subtraction. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] In the tunnel environment, due to the limitation of tunnel space and the influence of construction interference, the seismic signals collected on site often contain more interference waves, which affect the quality of seismic records. Various types of noise are mixed with each other, which seriously affects the tunnel seismic wave. The extraction of effective signals for advance forecasting by the method leads to false anomalies in the imaging results of tunnel seismic detection and errors in interpretation results. For the advanced detection of tunnel seismic wave m...

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Application Information

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IPC IPC(8): G06K9/00G06F17/14G06F17/18
CPCG06F17/148G06F17/14G06F17/18G06F2218/16G06F2218/06
Inventor 陈磊李凯付超高雪池许新骥许孝滨丁向南马川义
Owner SHANDONG UNIV
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