Image-domain Q inversion

Yuqing Chen; Gaurav Dutta; Gerard T. Schuster

doi:10.1190/segam2018-2997203.1

Image-domain Q inversion

Yuqing Chen, Gaurav Dutta, Gerard T. Schuster

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

Abstract

Seismic waves traveling in the earth experience amplitude loss and velocity dispersion associated with strong subsurface attenuation. To compensate for these effects, the Q model should be first estimated and the data can be corrected. However, Q estimation from the data can be challenging if the data have a poor signal-to-noise ratio. To mitigate this problem, we develop a wave-equation Q inversion method in the image domain. This method seeks a Q model which minimizes the local wavenumber differences between a reference image without Q effects, and a Q migration image computed with the current Q model. Numerical tests on synthetic data demonstrate that the Q model inverted by this image-domain Q inversion method can lead to a noticeable improvement in the migration image quality.

Original language	English (US)
Title of host publication	SEG Technical Program Expanded Abstracts 2018
Publisher	Society of Exploration Geophysicists
Pages	4121-4125
Number of pages	5
DOIs	https://doi.org/10.1190/segam2018-2997203.1
State	Published - Aug 27 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank the sponsors of the CSIM consortium, the KAUST Supercomputing Laboratory and IT Research Computing Group.

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10.1190/segam2018-2997203.1

https://repository.kaust.edu.sa/bitstream/10754/631486/1/segam2018-2997203.1.pdf

Cite this

@inproceedings{08e9ef71a5834216bb4b4032b82eb830,

title = "Image-domain Q inversion",

abstract = "Seismic waves traveling in the earth experience amplitude loss and velocity dispersion associated with strong subsurface attenuation. To compensate for these effects, the Q model should be first estimated and the data can be corrected. However, Q estimation from the data can be challenging if the data have a poor signal-to-noise ratio. To mitigate this problem, we develop a wave-equation Q inversion method in the image domain. This method seeks a Q model which minimizes the local wavenumber differences between a reference image without Q effects, and a Q migration image computed with the current Q model. Numerical tests on synthetic data demonstrate that the Q model inverted by this image-domain Q inversion method can lead to a noticeable improvement in the migration image quality.",

author = "Yuqing Chen and Gaurav Dutta and Schuster, {Gerard T.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: We thank the sponsors of the CSIM consortium, the KAUST Supercomputing Laboratory and IT Research Computing Group.",

year = "2018",

month = aug,

day = "27",

doi = "10.1190/segam2018-2997203.1",

language = "English (US)",

pages = "4121--4125",

booktitle = "SEG Technical Program Expanded Abstracts 2018",

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T1 - Image-domain Q inversion

AU - Chen, Yuqing

AU - Dutta, Gaurav

AU - Schuster, Gerard T.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: We thank the sponsors of the CSIM consortium, the KAUST Supercomputing Laboratory and IT Research Computing Group.

PY - 2018/8/27

Y1 - 2018/8/27

N2 - Seismic waves traveling in the earth experience amplitude loss and velocity dispersion associated with strong subsurface attenuation. To compensate for these effects, the Q model should be first estimated and the data can be corrected. However, Q estimation from the data can be challenging if the data have a poor signal-to-noise ratio. To mitigate this problem, we develop a wave-equation Q inversion method in the image domain. This method seeks a Q model which minimizes the local wavenumber differences between a reference image without Q effects, and a Q migration image computed with the current Q model. Numerical tests on synthetic data demonstrate that the Q model inverted by this image-domain Q inversion method can lead to a noticeable improvement in the migration image quality.

AB - Seismic waves traveling in the earth experience amplitude loss and velocity dispersion associated with strong subsurface attenuation. To compensate for these effects, the Q model should be first estimated and the data can be corrected. However, Q estimation from the data can be challenging if the data have a poor signal-to-noise ratio. To mitigate this problem, we develop a wave-equation Q inversion method in the image domain. This method seeks a Q model which minimizes the local wavenumber differences between a reference image without Q effects, and a Q migration image computed with the current Q model. Numerical tests on synthetic data demonstrate that the Q model inverted by this image-domain Q inversion method can lead to a noticeable improvement in the migration image quality.

UR - http://hdl.handle.net/10754/631486

UR - https://library.seg.org/doi/10.1190/segam2018-2997203.1

UR - http://www.scopus.com/inward/record.url?scp=85059432769&partnerID=8YFLogxK

U2 - 10.1190/segam2018-2997203.1

DO - 10.1190/segam2018-2997203.1

M3 - Conference contribution

SP - 4121

EP - 4125

BT - SEG Technical Program Expanded Abstracts 2018

PB - Society of Exploration Geophysicists

ER -

Image-domain Q inversion

Abstract

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