An efficient interpolation approach for insufficient 3D field data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Bona | - |
dc.contributor.author | Jeong, Soocheol | - |
dc.contributor.author | Byun, Joong moo | - |
dc.contributor.author | Kim, Young | - |
dc.date.accessioned | 2022-07-10T20:56:43Z | - |
dc.date.available | 2022-07-10T20:56:43Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2018-12 | - |
dc.identifier.issn | 0812-3985 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/148826 | - |
dc.description.abstract | Complete three-dimensional (3D) land seismic data are often difficult to acquire due to physical or financial limitations. Therefore, in recent years, interpolation techniques with 3D field data have played an important role in seismic data processing. To improve the efficiency of interpolation for insufficient 3D field data, we developed a new interpolation process that applies two-dimensional curvelet transform-based projection onto convex sets (POCS) to the k(x)-k(y) transformed data of each time slice of 3D data. Additionally, to acquire accurate interpolation results with the proposed new method, we designed the preparation process to render the input data irregularly distributed with small-sized gaps. We found that the interpolation results of our proposed new method were similar to those using a 3D curvelet transform-based POCS method, with reduced computational cost. The quality of the stacked images of sparsely sampled 3D field data was significantly enhanced by applying our interpolation approach. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | CSIRO PUBLISHING | - |
dc.title | An efficient interpolation approach for insufficient 3D field data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Byun, Joong moo | - |
dc.identifier.doi | 10.1071/EG16105 | - |
dc.identifier.scopusid | 2-s2.0-85042144450 | - |
dc.identifier.wosid | 000425114700007 | - |
dc.identifier.bibliographicCitation | EXPLORATION GEOPHYSICS, v.49, no.1, pp.58 - 67 | - |
dc.relation.isPartOf | EXPLORATION GEOPHYSICS | - |
dc.citation.title | EXPLORATION GEOPHYSICS | - |
dc.citation.volume | 49 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 58 | - |
dc.citation.endPage | 67 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Geochemistry & Geophysics | - |
dc.relation.journalWebOfScienceCategory | Geochemistry & Geophysics | - |
dc.subject.keywordPlus | POCS METHOD | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | PROJECTION | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordAuthor | curvelet transform | - |
dc.subject.keywordAuthor | imaging processing | - |
dc.subject.keywordAuthor | interpolation | - |
dc.subject.keywordAuthor | projection onto convex sets (POCS) | - |
dc.identifier.url | https://www.tandfonline.com/doi/full/10.1071/EG16105 | - |
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.