Diffracted wave separation method and device

A diffracted wave and reflected wave technology, applied in the field of diffracted wave separation method and device, can solve the problems of large error, difficult to popularize and apply, and achieve the effect of enhancing robustness and adaptability and reducing accident risk.

Inactive Publication Date: 2022-01-18
CHINA UNIV OF MINING & TECH (BEIJING)
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing methods, the traditional diffraction wave separation method generally uses a constant rank strategy. According to the number of events in the frequency space seismic data, a constant rank is predetermined to estimate the singular values ​​of the reflected wave and the diffracted wave. The error of this method is relatively large. Large, difficult to promote and apply

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
  • Diffracted wave separation method and device
  • Diffracted wave separation method and device
  • Diffracted wave separation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] In order to facilitate the understanding of this embodiment, a method for separating diffracted waves disclosed in this embodiment of the present invention is firstly introduced in detail.

[0033] see figure 1 Shown is a flow chart of a method for separating diffracted waves, which method includes the following steps:

[0034] Step S102, determining the frequency space seismic data and the initial Hankel block matrix of the frequency space seismic data; wherein the frequency space seismic data includes diffracted wave data, reflected wave data and noise data.

[0035] Step S104, perform Frobenius calculation on the frequency-space seismic data, construct a low-rank optimization model, and obtain the original decomposition result of the original seismic data.

[0036] Step S106, according to the low-rank optimization model, determine the singular matrix of the frequency-space seismic data, the singular values ​​of the frequency-space seismic data, and the singular valu...

Embodiment 2

[0041] Another method for separating diffracted waves will be introduced in detail below. see figure 2 Shown is the flow chart of another kind of diffraction wave separation method, and this method comprises the following steps:

[0042] Step S202, acquiring time-space seismic data of the target area; performing Fourier transformation on the time-space seismic data along the time axis to obtain frequency-space seismic data.

[0043] Specifically, the time-space seismic data is also called seismic wavefield co-offset data, and the frequency-space seismic data is also called frequency-space domain seismic co-offset data. This operation can convert the original data from the time-space domain to the frequency-space domain, and the frequency-space domain is more convenient to process and the processing effect is better.

[0044] Step S204, constructing a fourth Hankel block matrix for the frequency-space seismic data at each frequency; constructing an initial Hankel block matri...

Embodiment 3

[0092] An embodiment of the present invention provides a device for separating diffracted waves, such as image 3 Shown, above-mentioned separating device comprises:

[0093] The initial data determination module 31 is used to determine the frequency space seismic data and the initial Hankel block matrix of the frequency space seismic data; wherein the frequency space seismic data includes diffracted wave data, reflected wave data and noise data.

[0094] The low-rank optimization module 32 is used to perform Frobenius calculation on the frequency-space seismic data, construct a low-rank optimization model, and obtain the original decomposition results of the original seismic data.

[0095] The singular value decomposition module 33 is configured to determine the singular matrix of the frequency-space seismic data, the singular values ​​of the frequency-space seismic data, and the singular value matrix of the frequency-space seismic data according to the low-rank optimization ...

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 diffracted wave separation method and device. The method comprises the following steps of: determining frequency space seismic data and an initial Hankel block matrix of the frequency space seismic data; carrying out Frobenius calculation on the frequency space seismic data, constructing a low-rank optimization model, acquiring an original decomposition result of original seismic data, and then determining a singular matrix, a singular value and a singular value matrix of the frequency space seismic data; determining a singular value weight matrix based on the singular matrix, the singular value and the singular value matrix by adopting a Frobenius norm least square optimization algorithm; and according to the singular matrix, the singular value, the original decomposition result and the singular value weight matrix, reconstructing the initial Hankel block matrix, and determining separated diffracted wave data. According to the diffracted wave separation method and device, adaptive calculation of a singular value weight factor is considered, a constant rank selection strategy in a traditional method is avoided, the robustness and adaptability of an algorithm are enhanced, and a diffracted wave field of high-quality separation can be obtained.

Description

technical field [0001] The invention relates to the technical field of high-resolution imaging for underground exploration, in particular to a method and device for separating diffracted waves. Background technique [0002] Underground discontinuous geological bodies, such as cavities, faults, cracks, etc., are often closely related to the distribution of mineral resources. Accurate positioning of non-uniform and discontinuous geological bodies can effectively improve the success rate of exploration, reduce costs, and avoid possible geological problems. Disasters, avoiding risks. Diffraction waves are the seismic response of small-scale geological bodies, which contain structural information of small-scale geological bodies, and can be used to accurately locate non-uniform and discontinuous geological bodies and provide stronger underground space illumination. However, compared with the reflected wave, the diffracted wave attenuates faster during the propagation process and...

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): G01V1/28
CPCG01V1/28
Inventor 向阳彭苏萍林朋李闯建
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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