Skeletonized wave-equation inversion for Q

Gaurav Dutta; Gerard T. Schuster

doi:10.1190/segam2016-13839306.1

Skeletonized wave-equation inversion for Q

Gaurav Dutta, Gerard T. Schuster

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

10 Scopus citations

Abstract

A wave-equation gradient optimization method is presented that inverts for the subsurface Q distribution by minimizing a skeletonized misfit function ε. Here, ε is the sum of the squared differences between the observed and the predicted peak/centroid frequency shifts of the early-arrivals. The gradient is computed by migrating the observed traces weighted by the frequency-shift residuals. The background Q model is perturbed until the predicted and the observed traces have the same peak frequencies or the same centroid frequencies. Numerical tests show that an improved accuracy of the inverted Q model by wave-equation Q tomography (WQ) leads to a noticeable improvement in the migration image quality.

Original language	English (US)
Title of host publication	SEG Technical Program Expanded Abstracts 2016
Publisher	Society of Exploration Geophysicists
Pages	3618-3623
Number of pages	6
DOIs	https://doi.org/10.1190/segam2016-13839306.1
State	Published - Sep 2016

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/segam2016-13839306.1

https://repository.kaust.edu.sa/bitstream/10754/624885/1/segam2016-13839306.1.pdf

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@inproceedings{aea079dfa47745c89f76df367021a5fd,

title = "Skeletonized wave-equation inversion for Q",

abstract = "A wave-equation gradient optimization method is presented that inverts for the subsurface Q distribution by minimizing a skeletonized misfit function ε. Here, ε is the sum of the squared differences between the observed and the predicted peak/centroid frequency shifts of the early-arrivals. The gradient is computed by migrating the observed traces weighted by the frequency-shift residuals. The background Q model is perturbed until the predicted and the observed traces have the same peak frequencies or the same centroid frequencies. Numerical tests show that an improved accuracy of the inverted Q model by wave-equation Q tomography (WQ) leads to a noticeable improvement in the migration image quality.",

author = "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 = "2016",

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doi = "10.1190/segam2016-13839306.1",

language = "English (US)",

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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 - 2016/9

Y1 - 2016/9

N2 - A wave-equation gradient optimization method is presented that inverts for the subsurface Q distribution by minimizing a skeletonized misfit function ε. Here, ε is the sum of the squared differences between the observed and the predicted peak/centroid frequency shifts of the early-arrivals. The gradient is computed by migrating the observed traces weighted by the frequency-shift residuals. The background Q model is perturbed until the predicted and the observed traces have the same peak frequencies or the same centroid frequencies. Numerical tests show that an improved accuracy of the inverted Q model by wave-equation Q tomography (WQ) leads to a noticeable improvement in the migration image quality.

AB - A wave-equation gradient optimization method is presented that inverts for the subsurface Q distribution by minimizing a skeletonized misfit function ε. Here, ε is the sum of the squared differences between the observed and the predicted peak/centroid frequency shifts of the early-arrivals. The gradient is computed by migrating the observed traces weighted by the frequency-shift residuals. The background Q model is perturbed until the predicted and the observed traces have the same peak frequencies or the same centroid frequencies. Numerical tests show that an improved accuracy of the inverted Q model by wave-equation Q tomography (WQ) leads to a noticeable improvement in the migration image quality.

UR - http://hdl.handle.net/10754/624885

UR - http://library.seg.org/doi/10.1190/segam2016-13839306.1

UR - http://www.scopus.com/inward/record.url?scp=85019095664&partnerID=8YFLogxK

U2 - 10.1190/segam2016-13839306.1

DO - 10.1190/segam2016-13839306.1

M3 - Conference contribution

SP - 3618

EP - 3623

BT - SEG Technical Program Expanded Abstracts 2016

PB - Society of Exploration Geophysicists

ER -

Skeletonized wave-equation inversion for Q

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