Processing method for eliminating random noises of two dimensional seismic data

A random noise and processing method technology, applied in seismic signal processing, electrical digital data processing, special data processing applications, etc., can solve the problems of unfavorable random noise prediction and suppression, sparse receiving points, etc., and achieve the relationship between the strength of formation reflection and the The characteristics of the wave group are prominent, the signal-to-noise ratio is high, and the effect of eliminating random noise

Active Publication Date: 2016-03-30
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

The disadvantage is that the receiving points in the direction of the vertical survey line are very sparse, which is not conducive to random noise prediction and suppression

Method used

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  • Processing method for eliminating random noises of two dimensional seismic data
  • Processing method for eliminating random noises of two dimensional seismic data
  • Processing method for eliminating random noises of two dimensional seismic data

Examples

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Effect test

example 1

[0075] Example 1: Processing effect of single-shot data acquired by seismic exploration in oil area 1. Figure 5a-5c It is the processing effect diagram of single-shot data collected by seismic exploration in oil area 1, Figure 5a for the original data, Figure 5b After noise processing, Figure 5c for the isolated noise. It is not difficult to see that the low-frequency noise has been better eliminated, and the signal-to-noise ratio of the processed data is high, which is beneficial to the later imaging processing; Figure 6a and Figure 6b is the superposition processing section effect diagram, Figure 6a for conventional noise treatment profiles, Figure 6b Post-sections were processed for this method. It can be seen that the low-frequency noise of the section processed by the single-shot data processed by this method is well eliminated, the image is clear, the structure is complete, and it is easy for later geological interpretation research.

example 2

[0076] Example 2: The processing effect of single-shot data collected by the second seismic exploration in the oil area.

[0077] Figure 7a to Figure 7c It is the processing effect diagram of single-shot data collected by the second seismic exploration in the oil area, Figure 7a for the original data, Figure 7b After noise processing, Figure 7c for the isolated noise. It is not difficult to see that the low-frequency noise has been better eliminated, and the signal-to-noise ratio of the processed data is high, which is beneficial to the later imaging processing; Figure 8a , Figure 8b is the cross-sectional rendering of superposition processing, Figure 8a For the conventional noise processing profile, Figure 8b Post-sections were processed for this method. It can be seen that the signal-to-noise ratio of the single-shot data processed by this method is significantly higher than that of the conventional section, the structural imaging is clear, the continuity of t...

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Abstract

The invention provides a processing method for eliminating random noises of two dimensional seismic data, and belongs to the field of oil and gas seismic exploration. The method comprises a step a of seismic data input, by inputting seismic acquired single shot data or gather data and common receiver data which are in need of processing; a step b of frequency analysis, by selecting representative single shot or gather or common receiver data and conducting frequency analysis to obtain a frequency range of noise distribution; a step c of three dimension fitting from a two dimension, by fitting the inputted two-dimensional seismic data into a three-dimensional data volume; a step d of frequency domain conversion from a time domain, by converting the three-dimensional data volume acquired in the step c from the time domain into the frequency domain via Fourier transform; a step e of frequency Wiener filter, by conducting Wiener filter processing of the three-dimensional data volume obtained in the step d in the obtained frequency range of noise distribution in the step b; and a step f of time domain conversion from frequency domain, by converting the data after the Wiener filter processing into the time domain by using the Fourier transform formula.

Description

technical field [0001] The invention belongs to the field of oil and gas seismic exploration, and in particular relates to a processing method for eliminating random noise of two-dimensional seismic data. Background technique [0002] For the attenuation of random noise, experts and scholars at home and abroad have conducted a lot of research and developed many effective methods and technologies, such as band-pass filtering method, FXCNS suppression method, wavelet frequency division prediction and so on. All these methods have received very good results in practical applications, but because most of the methods are developed based on post-stack models, they can generally achieve satisfactory results in post-stack applications. Although some methods can be extended to pre-stack, they are not Due to the limitations of its theoretical basis or mathematical assumptions, the application effect will be restricted to a large extent. [0003] 1. Band-pass filter method. According...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/36G01V1/30G01V1/32G01V1/34G06F19/00
Inventor 郭恺杨瑞娟
Owner CHINA PETROLEUM & CHEM CORP
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