Improvements to elastic full waveform inversion using cross-gradient constraints

Edgar Manukyan; Hansruedi Maurer; Andre Nuber

doi:10.1190/segam2016-13531020.1

Improvements to elastic full waveform inversion using cross-gradient constraints

Edgar Manukyan, Hansruedi Maurer, Andre Nuber

Research output: Contribution to journal › Conference article › peer-review

Abstract

Seismic full waveform inversion (FWI) is a powerful method for obtaining high resolution subsurface images. However, in the case of multi-parameter FWI, such as elastic FWI, different parameter types have different formal resolutions which can degrade the overall performance of the method. The problem can be ameliorated by taking into account the structural similarity of different model parameters. For that purpose we have developed a structurally-constrained elastic FWI. Using a 2D synthetic example, we demonstrate that adding such constraints can significantly improve the tomographic images.

Original language	English
Pages (from-to)	1506-1510
Number of pages	5
Journal	SEG Technical Program Expanded Abstracts
Volume	35
DOIs	https://doi.org/10.1190/segam2016-13531020.1
State	Published - 1 Jan 2016
Externally published	Yes
Event	SEG International Exposition and 86th Annual Meeting, SEG 2016 - Dallas, United States Duration: 16 Oct 2011 → 21 Oct 2011

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Geophysics

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10.1190/segam2016-13531020.1

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abstract = "Seismic full waveform inversion (FWI) is a powerful method for obtaining high resolution subsurface images. However, in the case of multi-parameter FWI, such as elastic FWI, different parameter types have different formal resolutions which can degrade the overall performance of the method. The problem can be ameliorated by taking into account the structural similarity of different model parameters. For that purpose we have developed a structurally-constrained elastic FWI. Using a 2D synthetic example, we demonstrate that adding such constraints can significantly improve the tomographic images.",

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AU - Nuber, Andre

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N2 - Seismic full waveform inversion (FWI) is a powerful method for obtaining high resolution subsurface images. However, in the case of multi-parameter FWI, such as elastic FWI, different parameter types have different formal resolutions which can degrade the overall performance of the method. The problem can be ameliorated by taking into account the structural similarity of different model parameters. For that purpose we have developed a structurally-constrained elastic FWI. Using a 2D synthetic example, we demonstrate that adding such constraints can significantly improve the tomographic images.

AB - Seismic full waveform inversion (FWI) is a powerful method for obtaining high resolution subsurface images. However, in the case of multi-parameter FWI, such as elastic FWI, different parameter types have different formal resolutions which can degrade the overall performance of the method. The problem can be ameliorated by taking into account the structural similarity of different model parameters. For that purpose we have developed a structurally-constrained elastic FWI. Using a 2D synthetic example, we demonstrate that adding such constraints can significantly improve the tomographic images.

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U2 - 10.1190/segam2016-13531020.1

DO - 10.1190/segam2016-13531020.1

M3 - Conference article

AN - SCOPUS:85019136964

SN - 1052-3812

VL - 35

SP - 1506

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JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

T2 - SEG International Exposition and 86th Annual Meeting, SEG 2016

Y2 - 16 October 2011 through 21 October 2011

ER -

Improvements to elastic full waveform inversion using cross-gradient constraints

Abstract

ASJC Scopus subject areas

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