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

Singular value decomposition orientation seismic beamforming method

A singular value decomposition and seismic wave technology, applied in seismology, seismic signal processing, geophysical measurement, etc.

Active Publication Date: 2016-11-09
JILIN UNIV
View PDF12 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned and existing related SVD literatures on SVD suppress noise are all based on the fact that the target reflection signal and noise can be clearly separated from each other, and point out that when the signal-to-noise ratio of the seismic record is very low, the target reflection signal and noise When the noise cannot be effectively separated, the singular value decomposition method is no longer applicable

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
  • Singular value decomposition orientation seismic beamforming method
  • Singular value decomposition orientation seismic beamforming method
  • Singular value decomposition orientation seismic beamforming method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] Below in conjunction with accompanying drawing and embodiment do further detailed description:

[0060] In this embodiment, with d=10m, D=10m, v 1 =1500m / s, v 2 =2000m / s, f s = 1000 as an example to carry out deep seismic data acquisition and human activity areas to improve the signal-to-noise ratio processing of seismic records, but the deep seismic data acquisition and the directional seismic beamforming method using singular value decomposition in the human activity areas are not affected by the parameters given in the embodiment limit.

[0061] a. Select the seismic record U to be processed on the existing seismic record 0 (t,x), choose U 0 (t, x) as the center of the seismic record set of 7 consecutive adjacent shot points U = {U -3 (t,x),L,U -1 (t,x),U 0 (t,x),U 1 (t,x),L,U 3 (t,x)}, t is the time set of seismic records, x is the gathers of seismic records, U 0 (t,x) is the seismic record of the central shot point. Let U g (t,x) is any seismic record i...

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 singular value decomposition orientation seismic beamforming method. A small window singular value decomposition method is used to extract linear disturbance of low frequency and strong energy, and the linear disturbance is filtered out from original seismic data. A main beam direction is determined according to an exploration target. A beam orientation method is used to calculate delay parameters to acquire orientation seismic records. For the orientation seismic records, the singular value decomposition method is used to reconstruct singular values. Random background noise in the orientation seismic records are filtered out to acquire orientation seismic records with high signal-to-noise ratio. Through tests, the singular value decomposition orientation seismic beamforming method can effectively suppress strong linear disturbance and random background noise in the seismic records. The energy value of a target reflection signal is effectively enhanced. The signal-to-noise ratio of seismic data is improved from two aspects of noise reduction and signal enhancement. The data quality of seismic exploration is improved. Especially, the deep seismic effect is superior to the singular value decomposition method and the orientation seismic beamforming method.

Description

Technical field: [0001] The invention relates to a directional seismic beam synthesis method, aimed at deep seismic data acquisition and the low signal-to-noise ratio of seismic records in areas of human activities, in order to suppress strong linear interference and background random noise and enhance effective signal energy to improve seismic record signal-to-noise Than, a singular value decomposition method for directional seismic beamforming is proposed. Background technique: [0002] The idea of ​​beam steering originated from the field of phased radar. Because the beam directional method can effectively strengthen the effective signal on the target body, it was soon introduced into the field of seismic exploration. CN103984019A discloses "Local Correlation Weighted Seismic Beam Synthesis Method", CN104570121A discloses "Directional Seismic Wave Distortion Signal Elimination Method" and CN104793243A discloses "Directional Seismic Wave Data Processing Method Based on N-...

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): G01V1/36
CPCG01V1/36G01V1/364
Inventor 姜弢邹艳艳徐学纯岳永高汪彦龙晁云峰贾海青
Owner JILIN UNIV
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