Wave field separation principle based denoising method for increasing signal to noise ratio of seismic data

A technology of wave field separation and seismic data, applied in the field of petroleum geophysical exploration, can solve problems such as inappropriate coincidence axis interleaving, large amount of calculation, complex correction, etc., and achieve the effect of overcoming unsteady state changes and shortening the occupied time

Active Publication Date: 2013-01-02
CHINA PETROLEUM & CHEM CORP +1
View PDF0 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These techniques are computationally intensive and require complex corrections to apply to dip data
Moreover, the noise suppression technology based on SVD is

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
  • Wave field separation principle based denoising method for increasing signal to noise ratio of seismic data
  • Wave field separation principle based denoising method for increasing signal to noise ratio of seismic data
  • Wave field separation principle based denoising method for increasing signal to noise ratio of seismic data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0039] A denoising method for improving the signal-to-noise ratio of seismic data, the method uses data block technology combined with wave field separation technology to suppress random noise and then improve the signal-to-noise ratio of seismic data; the method first analyzes the seismic data Block processing, and then perform complex domain SVD filtering on each data block, and use wave field separation technology (also known as complex domain singular value decomposition technology, singular value filtering, singular value decomposition and reconstruction, referred to as SVD) for eigenvalue decomposition, The optimal eigenvalues ​​are used to reconstruct the data and replace the original frequency slices to suppress random noise.

[0040] The method comprises the steps of:

[0041] (1) Data block processing step: block seismic data according to the time-space dir...

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 denoising method for increasing the signal to noise ratio of seismic data, and belongs to the field of geophysical prospecting for petroleum. The data partitioning technique and the wave field separation technique are combined to suppress stochastic noise so as to increase the signal to noise ratio of seismic data. The method includes: partitioning the seismic data, subjecting each data block to complex field SVD (singular value decomposition) filtering, using the wave field separation technique for decomposition of characteristic values, using optimized characteristic values for data reconstruction, and replacing original frequency slices to realize suppression of the stochastic noise. Compared with the conventional SVD technique which assumes horizontal lineups, the method has the advantages that any relative time difference correction for the lineups is not needed, and denoising effects are stable. By means of the partitioning technique, unsteady state of inclination angle variation in actual seismic data can be overcome effectively, and time occupied by SVD and reconstruction is greatly shortened.

Description

technical field [0001] The invention belongs to the field of petroleum geophysical exploration, and in particular relates to a denoising method for improving the signal-to-noise ratio of seismic data based on the principle of wave field separation. Background technique [0002] Random noise is a main type of interference wave encountered in seismic data processing. In seismic records, it mainly manifests as disordered waveform, wide frequency band, uncertain apparent velocity, and no definite propagation direction. It can satisfy statistical laws to a certain extent. The existence of random noise will reduce the signal-to-noise ratio of seismic data and affect the quality of data processing. The methods of suppressing random noise are mainly divided into 3 categories: [0003] 1. Methods based on prediction techniques (f-x deconvolution and projection deconvolution, etc.); [0004] 2. Methods based on statistical principles (median filtering and polynomial fitting, etc.); ...

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
IPC IPC(8): G01V1/36
Inventor 崔树果郭全仕吕秋玲王跃崔连军
Owner CHINA PETROLEUM & CHEM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap