3D wave-equation dispersion inversion of surface waves

Zhaolun Liu; Jing Li; Sherif M. Hanafy; Gerard T. Schuster

doi:10.1190/segam2018-2997521.1

3D wave-equation dispersion inversion of surface waves

Zhaolun Liu, Jing Li, Sherif M. Hanafy, Gerard T. Schuster

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

7 Scopus citations

Abstract

The 2D wave-equation dispersion inversion (WD) methodology is extended to the inversion of three-dimensional data for a 3D shear-wave velocity model. The objective function of 3D WD is the sum of the squared wavenumber differences along each azimuth angle between the predicted and observed 3D dispersion curves. The 3D dispersion curves are obtained by wavenumber-frequency analysis of the fundamental Rayleigh waves in each 3D shot gather. The S-wave velocity update is computed by a weighted zero-lag crosscorrelation between the source wavefield and the back-projected receiver-side wavefield for each azimuth angle. The synthetic and field data examples demonstrate that the 3D WD method can accurately estimate the 3D S-wave velocity model in laterally heterogeneous media.

Original language	English (US)
Title of host publication	SEG Technical Program Expanded Abstracts 2018
Publisher	Society of Exploration Geophysicists
Pages	4733-4737
Number of pages	5
DOIs	https://doi.org/10.1190/segam2018-2997521.1
State	Published - Aug 27 2018

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10.1190/segam2018-2997521.1

https://repository.kaust.edu.sa/bitstream/10754/631485/1/segam2018-2997521.1.pdf

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@inproceedings{566632703b8446339348e8e6012f7fdd,

title = "3D wave-equation dispersion inversion of surface waves",

abstract = "The 2D wave-equation dispersion inversion (WD) methodology is extended to the inversion of three-dimensional data for a 3D shear-wave velocity model. The objective function of 3D WD is the sum of the squared wavenumber differences along each azimuth angle between the predicted and observed 3D dispersion curves. The 3D dispersion curves are obtained by wavenumber-frequency analysis of the fundamental Rayleigh waves in each 3D shot gather. The S-wave velocity update is computed by a weighted zero-lag crosscorrelation between the source wavefield and the back-projected receiver-side wavefield for each azimuth angle. The synthetic and field data examples demonstrate that the 3D WD method can accurately estimate the 3D S-wave velocity model in laterally heterogeneous media.",

author = "Zhaolun Liu and Jing Li and Hanafy, {Sherif M.} and Schuster, {Gerard T.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. We are grateful to the sponsors of the Center for Subsurface Imaging and Modeling Consortium for their financial support. For computer time, this research used the resources of the Supercomputing Laboratory at KAUST and the IT Research Computing Group. We thank them for providing the computational resources required for carrying out this work.",

year = "2018",

month = aug,

day = "27",

doi = "10.1190/segam2018-2997521.1",

language = "English (US)",

pages = "4733--4737",

booktitle = "SEG Technical Program Expanded Abstracts 2018",

publisher = "Society of Exploration Geophysicists",

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T1 - 3D wave-equation dispersion inversion of surface waves

AU - Liu, Zhaolun

AU - Li, Jing

AU - Hanafy, Sherif M.

AU - Schuster, Gerard T.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: The research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. We are grateful to the sponsors of the Center for Subsurface Imaging and Modeling Consortium for their financial support. For computer time, this research used the resources of the Supercomputing Laboratory at KAUST and the IT Research Computing Group. We thank them for providing the computational resources required for carrying out this work.

PY - 2018/8/27

Y1 - 2018/8/27

N2 - The 2D wave-equation dispersion inversion (WD) methodology is extended to the inversion of three-dimensional data for a 3D shear-wave velocity model. The objective function of 3D WD is the sum of the squared wavenumber differences along each azimuth angle between the predicted and observed 3D dispersion curves. The 3D dispersion curves are obtained by wavenumber-frequency analysis of the fundamental Rayleigh waves in each 3D shot gather. The S-wave velocity update is computed by a weighted zero-lag crosscorrelation between the source wavefield and the back-projected receiver-side wavefield for each azimuth angle. The synthetic and field data examples demonstrate that the 3D WD method can accurately estimate the 3D S-wave velocity model in laterally heterogeneous media.

AB - The 2D wave-equation dispersion inversion (WD) methodology is extended to the inversion of three-dimensional data for a 3D shear-wave velocity model. The objective function of 3D WD is the sum of the squared wavenumber differences along each azimuth angle between the predicted and observed 3D dispersion curves. The 3D dispersion curves are obtained by wavenumber-frequency analysis of the fundamental Rayleigh waves in each 3D shot gather. The S-wave velocity update is computed by a weighted zero-lag crosscorrelation between the source wavefield and the back-projected receiver-side wavefield for each azimuth angle. The synthetic and field data examples demonstrate that the 3D WD method can accurately estimate the 3D S-wave velocity model in laterally heterogeneous media.

UR - http://hdl.handle.net/10754/631485

UR - https://library.seg.org/doi/10.1190/segam2018-2997521.1

UR - http://www.scopus.com/inward/record.url?scp=85059431023&partnerID=8YFLogxK

U2 - 10.1190/segam2018-2997521.1

DO - 10.1190/segam2018-2997521.1

M3 - Conference contribution

SP - 4733

EP - 4737

BT - SEG Technical Program Expanded Abstracts 2018

PB - Society of Exploration Geophysicists

ER -

3D wave-equation dispersion inversion of surface waves

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