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Linear noise eliminating method

A technology of linear noise and detection direction, applied in the field of data processing, can solve the problems of low resolution of seismic recording profile, loss of effective signal, loss of effective signal, etc. Really, good effect of removing linear noise

Inactive Publication Date: 2013-09-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, based solely on time domain or frequency domain filtering, since the useful signal and noise overlap in both the frequency domain and the time domain, if the noise is to be completely eliminated, the loss of effective signal will inevitably occur.
That is to say, there is a contradiction between the signal-to-noise ratio and the resolution in the existing filtering methods. The more complete the noise elimination, the more effective signal loss, and the lower the resolution of the seismic record profile.

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Embodiment Construction

[0020] in such as figure 1 The linear noise removal process is performed on the original section of the single-shot seismic record shown, including the following steps:

[0021] (1) The detection range in the profile is determined by two given time parameters T(n / 2), T(n), and T(0), where T(n / 2) is the start of the middle track of the seismic profile Time, T(n) and T(0) are the start times of the right and left traces of the profile respectively. The start detection time of track x in the profile is determined by the start time T(n / 2) of the middle track of the profile and the start time T(1) or T(n) of the side track of the profile, 1≤x≤n, where n is figure 1 The total number of passes in the mid-section is 300:

[0022] When 0≤x≤150, the start detection time T(x) of the xth channel is:

[0023] T(n / 2)+[T(1)-T(150)]*[offset(x)-offset(150)] / [offset(1)-offset(150)];

[0024] When 150

[0025] T(150)+[T(300)-T(150)...

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Abstract

The invention provides a linear noise eliminating method which causes no damage to an effective signal when ensuring noise removing effect. The method comprises the following steps of: firstly, confirming the direction of linear noise of a point coherent signal by utilizing a channel in a profile; and then sampling in the direction. As for the sampled signal, the linear noise can be used as the effective signal, and the effective signal is used as random noise, and thereby, the linear noise can be predicted by utilizing fraction domain predicting filtration; and finally, the original profile signal subtracts the predicted linear noise to obtain a result removing noise. The fractional order-based Fourier transformation simultaneously fuses the information of the signal in the time domain and the frequency domain, the signal can be divided by combining the time domain and the frequency domain, and the available signal and the linear noise are effectively distinguished. Accordingly, the fractional domain filtration-based linear noise elimination of the invention is different from the traditional single time domain or frequency domain-based filtration, and the invention can more favorably solve the contradiction between signal-to-noise ratio and seismic resolution.

Description

technical field [0001] The invention relates to data processing technology, in particular to a linear noise elimination method in seismic analysis data. Background technique [0002] Seismic data processing with high fidelity, high resolution and high signal-to-noise ratio is an important basis and guarantee for seismic data interpretation and oil and gas reservoir prediction. Therefore, noise removal and attenuation of pre-stack and post-stack seismic signals are important steps in seismic data processing. The noise sources of seismic signals are very complex, such as sound waves, surface waves, industrial electrical interference, ghost reflections, multiple reflections, repeated shocks, side waves, bottom waves, reverberation and ringing, and various random interferences. According to the characteristics of various noises, seismic noise can be divided into two categories: coherent noise and random noise. Such as figure 1 Raw sections from the original single-shot seismi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/36
Inventor 彭真明彭建亮黎殿来陈章张杰
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA