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Resolution constraints in Bayesian McMC travel-time tomography

Publikation: Konferenzbeitrag › Paper › Begutachtung

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.

OriginalspracheEnglisch
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 3 Juni 2019
Veranstaltung81st EAGE Conference and Exhibition - London, Großbritannien / Vereinigtes Königreich
Dauer: 2 Juni 2019 → 7 Juni 2019

Konferenz

Konferenz81st EAGE Conference and Exhibition
Land/GebietGroßbritannien / Vereinigtes Königreich
OrtLondon
Zeitraum2/06/19 → 7/06/19

Bibliographische Notiz

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

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