Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Experimental program
Comparison scheme
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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com