A Study on Matching Pursuit Interpolation with Moveout Correction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jaekang | - |
dc.contributor.author | Byun, Joong moo | - |
dc.contributor.author | Seol, Soon Jee | - |
dc.contributor.author | Kim, Young | - |
dc.date.accessioned | 2022-07-11T22:12:19Z | - |
dc.date.available | 2022-07-11T22:12:19Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2018-05 | - |
dc.identifier.issn | 1229-1064 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150110 | - |
dc.description.abstract | The recent research aim of seismic trace interpolation is to effectively interpolate the data with spatial aliasing. Among various interpolation methods, the Matching Pursuit interpolation, that finds the proper combination of basis functions which can best recover traces, has been developed. However, this method cannot interpolate aliased data. Thus, the multi-component Matching Pursuit interpolation and moveout correction method have been proposed for interpolation of spatially aliased data. It is difficult to apply the multi-component Matching Pursuit interpolation to interpolating the OBC (Ocean Bottom Cable) data which is the multi-component data obtained at the ocean bottom because the isolation of P wave component is required in advance. Thus, in this study, we dealt with an effective single-component matching Pursuit interpolation method in OBC data where P-wave and S-wave are mixed and spatial aliasing is present. To do this, we proposed the Ricker wavelet based single-component Matching Pursuit interpolation workflow with moveout-correction and systematically investigated its effectiveness. In this workflow, the spatial aliasing problem is solved by applying constant value moveout correction to the data before the interpolation is performed. After finishing the interpolation, the inverse moveout correction is applied to the interpolated data using the same constant velocity. Through the application of our workflow to the synthetic OBC seismic data, we verified the effectiveness of the proposed workflow. In addition, we showed that the interpolation of field OBC data with severe spatial aliasing was successfully performed using our workflow. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | KOREAN SOC EARTH & EXPLORATION GEOPHYSICISTS | - |
dc.title | A Study on Matching Pursuit Interpolation with Moveout Correction | - |
dc.title.alternative | 시간차 보정을 적용한 Matching Pursuit 내삽 기법 연구 | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Byun, Joong moo | - |
dc.identifier.doi | 10.7582/GGE.2018.21.2.103 | - |
dc.identifier.wosid | 000440347900004 | - |
dc.identifier.bibliographicCitation | GEOPHYSICS AND GEOPHYSICAL EXPLORATION, v.21, no.2, pp.103 - 111 | - |
dc.relation.isPartOf | GEOPHYSICS AND GEOPHYSICAL EXPLORATION | - |
dc.citation.title | GEOPHYSICS AND GEOPHYSICAL EXPLORATION | - |
dc.citation.volume | 21 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 103 | - |
dc.citation.endPage | 111 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002352144 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Geochemistry & Geophysics | - |
dc.relation.journalWebOfScienceCategory | Geochemistry & Geophysics | - |
dc.subject.keywordPlus | SEISMIC TRACE INTERPOLATION | - |
dc.subject.keywordPlus | PREDICTION FILTERS | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | PRESSURE | - |
dc.subject.keywordAuthor | Moveout correction | - |
dc.subject.keywordAuthor | Matching Pursuit | - |
dc.subject.keywordAuthor | Interpolation | - |
dc.subject.keywordAuthor | OBC | - |
dc.identifier.url | http://koreascience.or.kr/article/JAKO201817840888143.page | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.