Multi-domain surface multiple leakage extraction using local primary-and-multiple orthogonalization

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Abstract

Surface-related multiple elimination (SRME) is a solid and effective approach for primary estimation. However, due to the imperfections in data and method multiple energy leakage is commonly seen in the results of SRME-predicted primaries. Assuming that the primaries and multiples do not correlate locally in the time-space domain, we are able to extract the leaked multiples from the initially estimated primaries using multi-domain local primary-and-multiple orthogonalization. The proposed framework consists of two steps: an initial primary/multiple estimation step and a multiple-leakage extraction step. The initial step corresponds to SRME, which produces the initial estimated primary and multiple models. The second step is based on multi-domain local primary-and-multiple orthogonalization to retrieve the leaked multiples. Multi-domain indicates that we first extract the leaked multiples in shot domain, and then the residual can be further extracted in common-offset domain. Thus, we can obtain a better primary output which has much less leaked multiple energy. We demonstrate a good performance of our proposed framework on both synthetic and field data, where it repairs the leakage of standard global adaptive subtraction.

Original languageEnglish
Title of host publicationSEG Technical Program Expanded Abstracts 2019
EditorsGlenn Winter, Kevin Woller
Pages4585-4589
Number of pages5
DOIs
Publication statusPublished - 2020
EventSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019 - San Antonio, United States
Duration: 15 Sep 201920 Sep 2019

Publication series

NameSEG Technical Program Expanded Abstracts

Conference

ConferenceSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019
CountryUnited States
CitySan Antonio
Period15/09/1920/09/19

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