Resolution constraints in Bayesian McMC travel-time tomography

Florian Bleibinhaus

doi:10.3997/2214-4609.201901992

Resolution constraints in Bayesian McMC travel-time tomography

Florian Bleibinhaus

Chair of Applied Geophysics (260)

Research output: Contribution to conference › Paper › peer-review

Abstract

The resolution matrix from a linearized inversion scheme is integrated into a probabilistic Markov chain Monte Carlo algorithm to provide multi-variate compensations to the random pertubartions. This comes at no additional computational cost other then the prior computation of a generalized inverse, and it improves acceptance ratio, mean step length and mixing properties. The efficiency is tested with a synthetic example from refraction seismic travel-time tomography.

Original language	English
Number of pages	4
DOIs	https://doi.org/10.3997/2214-4609.201901992
Publication status	Published - 3 Jun 2019
Event	81st EAGE Conference and Exhibition - London, United Kingdom Duration: 2 Jun 2019 → 7 Jun 2019

Conference

Conference	81st EAGE Conference and Exhibition
Country/Territory	United Kingdom
City	London
Period	2/06/19 → 7/06/19

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Publisher Copyright:
© 81st EAGE Conference and Exhibition 2019 Workshop Programme. All rights reserved.

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10.3997/2214-4609.201901992

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AB - The resolution matrix from a linearized inversion scheme is integrated into a probabilistic Markov chain Monte Carlo algorithm to provide multi-variate compensations to the random pertubartions. This comes at no additional computational cost other then the prior computation of a generalized inverse, and it improves acceptance ratio, mean step length and mixing properties. The efficiency is tested with a synthetic example from refraction seismic travel-time tomography.

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M3 - Paper

T2 - 81st EAGE Conference and Exhibition

Y2 - 2 June 2019 through 7 June 2019

ER -

Resolution constraints in Bayesian McMC travel-time tomography

Abstract

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Bibliographical note

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