Automatic WEMVA by Focusing Subsurface Offset Virtual Sources

Bingbing Sun; Tariq Ali Alkhalifah

doi:10.3997/2214-4609.201700837

Automatic WEMVA by Focusing Subsurface Offset Virtual Sources

Bingbing Sun, Tariq Ali Alkhalifah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Macro velocity building is important for subsequent prestack depth migration and full waveform inversion. Wave equation migration velocity analysis (WEMVA) utilizes band-limited waveform to invert the velocity in an automatic manner. Normally, inversion would be implemented by focusing the subsurface offset common image gathers(SOCIGs). We re-examine it with a different perspective and propose to view the SOCIGs and the background wavefield together as subsurface offset virtual sources(SOVS). A linear system connecting the perturbation of the position of those SOVS and velocity is derived and solved subsequently using a conjugate gradient method. Both synthetic and real dataset examples verify the correctness and effectiveness of the proposed method.

Original language	English (US)
Title of host publication	79th EAGE Conference and Exhibition 2017
Publisher	EAGE Publications
ISBN (Print)	9789462822177
DOIs	https://doi.org/10.3997/2214-4609.201700837
State	Published - May 26 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The real data shown in this study is proprietary to and provided courtesy of CGG company. We are grateful to them. The authors also thank for the resources of the supercomputing Laboratory at KAUST.

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10.3997/2214-4609.201700837

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@inproceedings{03e14a31e72d46a4a62c465c17df17c0,

title = "Automatic WEMVA by Focusing Subsurface Offset Virtual Sources",

abstract = "Macro velocity building is important for subsequent prestack depth migration and full waveform inversion. Wave equation migration velocity analysis (WEMVA) utilizes band-limited waveform to invert the velocity in an automatic manner. Normally, inversion would be implemented by focusing the subsurface offset common image gathers(SOCIGs). We re-examine it with a different perspective and propose to view the SOCIGs and the background wavefield together as subsurface offset virtual sources(SOVS). A linear system connecting the perturbation of the position of those SOVS and velocity is derived and solved subsequently using a conjugate gradient method. Both synthetic and real dataset examples verify the correctness and effectiveness of the proposed method.",

author = "Bingbing Sun and Alkhalifah, {Tariq Ali}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The real data shown in this study is proprietary to and provided courtesy of CGG company. We are grateful to them. The authors also thank for the resources of the supercomputing Laboratory at KAUST.",

year = "2017",

month = may,

day = "26",

doi = "10.3997/2214-4609.201700837",

language = "English (US)",

isbn = "9789462822177",

booktitle = "79th EAGE Conference and Exhibition 2017",

publisher = "EAGE Publications",

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TY - GEN

T1 - Automatic WEMVA by Focusing Subsurface Offset Virtual Sources

AU - Sun, Bingbing

AU - Alkhalifah, Tariq Ali

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The real data shown in this study is proprietary to and provided courtesy of CGG company. We are grateful to them. The authors also thank for the resources of the supercomputing Laboratory at KAUST.

PY - 2017/5/26

Y1 - 2017/5/26

N2 - Macro velocity building is important for subsequent prestack depth migration and full waveform inversion. Wave equation migration velocity analysis (WEMVA) utilizes band-limited waveform to invert the velocity in an automatic manner. Normally, inversion would be implemented by focusing the subsurface offset common image gathers(SOCIGs). We re-examine it with a different perspective and propose to view the SOCIGs and the background wavefield together as subsurface offset virtual sources(SOVS). A linear system connecting the perturbation of the position of those SOVS and velocity is derived and solved subsequently using a conjugate gradient method. Both synthetic and real dataset examples verify the correctness and effectiveness of the proposed method.

AB - Macro velocity building is important for subsequent prestack depth migration and full waveform inversion. Wave equation migration velocity analysis (WEMVA) utilizes band-limited waveform to invert the velocity in an automatic manner. Normally, inversion would be implemented by focusing the subsurface offset common image gathers(SOCIGs). We re-examine it with a different perspective and propose to view the SOCIGs and the background wavefield together as subsurface offset virtual sources(SOVS). A linear system connecting the perturbation of the position of those SOVS and velocity is derived and solved subsequently using a conjugate gradient method. Both synthetic and real dataset examples verify the correctness and effectiveness of the proposed method.

UR - http://hdl.handle.net/10754/626961

UR - http://www.earthdoc.org/publication/publicationdetails/?publication=88554

U2 - 10.3997/2214-4609.201700837

DO - 10.3997/2214-4609.201700837

M3 - Conference contribution

SN - 9789462822177

BT - 79th EAGE Conference and Exhibition 2017

PB - EAGE Publications

ER -

Automatic WEMVA by Focusing Subsurface Offset Virtual Sources

Abstract

Bibliographical note

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