A comparison of data-driven internal multiple elimination strategies and their consequences for imaging

L. Zhang*, E. Slob

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

We compare two data-driven internal multiple reflection elimination schemes derived from regular Marchenko equations and Inverse Scattering Series (ISS). The scheme derived from regular Marchenko equations creates a new data set without internal multiple reflections. The scheme derived from ISS is equal to the result after the second iteration of the Marchenko-based scheme. It can attenuate internal multiple reflections with residuals. We evaluate the success of two schemes with a 2D complex numerical example. It is shown that Marchenko-based data-driven scheme is relatively more robust for internal multiple reflection elimination.

Original languageEnglish
Title of host publication81st EAGE Conference and Exhibition 2019
PublisherEAGE
Number of pages5
ISBN (Electronic)9789462822894
DOIs
Publication statusPublished - 2019
Event81st EAGE Conference and Exhibition 2019 - ExCeL Centre, London, United Kingdom
Duration: 3 Jun 20196 Jun 2019
https://eage.eventsair.com/81st-eage-annual-conference-and-exhibtion/

Conference

Conference81st EAGE Conference and Exhibition 2019
Country/TerritoryUnited Kingdom
CityLondon
Period3/06/196/06/19
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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