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

L. Zhang; E. Slob

doi:10.3997/2214-4609.201901518

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

L. Zhang^*, E. Slob

^*Corresponding author for this work

Applied Geophysics and Petrophysics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-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 language	English
Title of host publication	81st EAGE Conference and Exhibition 2019
Publisher	EAGE
Number of pages	5
ISBN (Electronic)	9789462822894
DOIs	https://doi.org/10.3997/2214-4609.201901518
Publication status	Published - 2019
Event	81st EAGE Conference and Exhibition 2019 - ExCeL Centre, London, United Kingdom Duration: 3 Jun 2019 → 6 Jun 2019 https://eage.eventsair.com/81st-eage-annual-conference-and-exhibtion/

Conference

Conference	81st EAGE Conference and Exhibition 2019
Country/Territory	United Kingdom
City	London
Period	3/06/19 → 6/06/19
Internet address	https://eage.eventsair.com/81st-eage-annual-conference-and-exhibtion/

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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title = "A comparison of data-driven internal multiple elimination strategies and their consequences for imaging",

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.",

author = "L. Zhang and E. Slob",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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.; 81st EAGE Conference and Exhibition 2019 ; Conference date: 03-06-2019 Through 06-06-2019",

year = "2019",

doi = "10.3997/2214-4609.201901518",

language = "English",

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T1 - A comparison of data-driven internal multiple elimination strategies and their consequences for imaging

AU - Zhang, L.

AU - Slob, E.

N1 - 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.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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U2 - 10.3997/2214-4609.201901518

DO - 10.3997/2214-4609.201901518

M3 - Conference contribution

BT - 81st EAGE Conference and Exhibition 2019

PB - EAGE

T2 - 81st EAGE Conference and Exhibition 2019

Y2 - 3 June 2019 through 6 June 2019

ER -

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

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