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

Wavelet decomposition-based earthquake spectrum decomposition method

A technology of seismic spectrum decomposition and wavelet decomposition, which is applied in seismic signal processing and other directions, can solve the problems of low time-frequency resolution and limited calculation accuracy, and achieve improved time-frequency resolution, improved drilling success rate, and time-frequency resolution rate-enhancing effect

Inactive Publication Date: 2015-11-04
PST SERVICE CORP
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since these methods are based on Fourier transform, the calculation accuracy is limited by the accuracy of Fourier transform, so the time-frequency resolution of these spectral decomposition methods is not high

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
  • Wavelet decomposition-based earthquake spectrum decomposition method
  • Wavelet decomposition-based earthquake spectrum decomposition method
  • Wavelet decomposition-based earthquake spectrum decomposition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] like figure 2 As shown, using the wavelet decomposition method of the present invention to compare with the spectral decomposition methods of three other methods of short-time Fourier transform, wavelet transform and S transform, the time-frequency resolution of the wavelet decomposition method is obviously higher than the other three methods .

Embodiment 2

[0054] like image 3 As shown, the 25Hz single-frequency volume, the resolution of the single-frequency volume obtained by MPD (Matching Pursuit) wavelet decomposition is very high. The four sets of thin sand bodies located in the white frame can be effectively distinguished. However, the single-frequency body obtained by the CWT (wavelet transform) short-time Fourier method has low resolution due to the interference of adjacent frequency bands, and cannot distinguish four sets of thin-bed sand bodies.

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 relates to a wavelet decomposition-based earthquake spectrum decomposition method, and includes the steps of: 1) inputting seismic data, and performing Hilbert conversion and spectral analysis on the seismic data; 2) presetting a Ricker wavelet function; 3) building a Ricker wavelet set according to a spectrum of the seismic data obtained by the Step 1) and the Ricker wavelet function in the Step 2); and 4) using the Ricker wavelet set to perform time-frequency decomposition on a seismic trace. The wavelet decomposition-based earthquake spectrum decomposition method has the beneficial effects that time-frequency resolution of earthquake spectrum decomposition can be greatly improved, and high-precision time-frequency domain seismic data can be obtained, thereby laying a solid foundation for improvement of seismic reservoir prediction; and the time-frequency resolution is improved by more than one time, playing an important role in using seismic frequency division information to perform reservoir prediction, and providing an important guarantee for oil companies and service companies to improve the success rate of exploration and development drilling.

Description

technical field [0001] The invention belongs to the field of petroleum exploration and development, and in particular relates to a seismic spectrum decomposition method based on wavelet decomposition. Background technique [0002] Traditional seismic spectrum decomposition methods usually use short-time Fourier transform and wavelet transform methods. Since these methods are all based on Fourier transform, the calculation accuracy is limited by the accuracy of Fourier transform, so the time-frequency resolution of these spectral decomposition methods is not high. Contents of the invention [0003] In order to solve the above-mentioned problems in the prior art, the present invention provides a seismic spectrum decomposition method based on wavelet decomposition with high time-frequency resolution. [0004] The technical scheme adopted in the present invention is: a kind of seismic spectrum decomposition method based on wavelet decomposition, which comprises the following ...

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): G01V1/28G01V1/30
Inventor 姜玉新崔勇
Owner PST SERVICE 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