Invention Grant
- Patent Title: Vector denoising method for multicomponent seismic data
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Application No.: US15944713Application Date: 2018-04-03
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Publication No.: US10761232B2Publication Date: 2020-09-01
- Inventor: Jun Lu , Yun Wang
- Applicant: China University of Geosciences (Beijing)
- Applicant Address: CN Beijing
- Assignee: CHINA UNIVERSITY OF GEOSCIENCES (BEIJING)
- Current Assignee: CHINA UNIVERSITY OF GEOSCIENCES (BEIJING)
- Current Assignee Address: CN Beijing
- Agency: NZ Carr Law Office
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@7dd4b980
- Main IPC: G01V1/36
- IPC: G01V1/36 ; G01V1/18

Abstract:
The present disclosure provides a vector denoising method for the multicomponent seismic data, including: obtaining a wave vector of the multicomponent seismic data; calculating a first mean wave vector for the multicomponent seismic data by applying a first moving window, performing a median filtering for the first mean wave vector to obtain a true modulus of the ground roll, subtracting the wave vector of the ground roll from the multicomponent seismic data to obtain a vector time-series; performing a mean filtering for the vector time-series by using a second moving window to obtain a second mean wave vector, performing a median filtering and performing a median the median filtering within the same receiving line for the second mean wave vector to suppress the wave vector of the random noise in the vector time-series, thereby obtaining a wave vector of a purified effective signal.
Public/Granted literature
- US20190094400A1 VECTOR DENOISING METHOD FOR MULTICOMPONENT SEISMIC DATA Public/Granted day:2019-03-28
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