On the benefits of auxiliary transmission data for Marchenko-based Green’s function retrieval

J. Van der Neut, J. Brackenhoff, G. Meles, L. Zhang, E. Slob, K. Wapenaar

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

Abstract

Green’s functions in an unknown medium can be retrieved from single-sided reflection data by solving a multidimensional Marchenko equation. This methodology requires knowledge of the direct wavefield throughout the medium, which should include forward-scattered waveforms. In practice, the direct field is often computed in a smooth background model, where such subtleties are not included. As a result, Marchenko-based Green’s function retrieval can be inaccurate, especially in severely complex media. In some cases, auxiliary transmission data may be available. In this extended abstract, we show how these data can be used to modify the Marchenko equation so that forward-scattered waveforms can be retrieved without additional knowledge of the medium.
Original languageEnglish
Title of host publicationProceedings of the 82nd EAGE Annual Conference & Exhibition
Subtitle of host publicationOctober 18-21, 2021
PublisherEAGE
Number of pages5
Volume2021
DOIs
Publication statusPublished - 2021
Event82nd EAGE Annual Conference & Exhibition
- Amsterdam, Netherlands
Duration: 18 Oct 202121 Oct 2021
https://eage.eventsair.com/eageannual2021/

Conference

Conference82nd EAGE Annual Conference & Exhibition
CountryNetherlands
CityAmsterdam
Period18/10/2121/10/21
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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