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.
| Originalsprache | Englisch |
|---|---|
| Seitenumfang | 4 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 3 Juni 2019 |
| Veranstaltung | 81st EAGE Conference and Exhibition - London, Großbritannien / Vereinigtes Königreich Dauer: 2 Juni 2019 → 7 Juni 2019 |
Konferenz
| Konferenz | 81st EAGE Conference and Exhibition |
|---|---|
| Land/Gebiet | Großbritannien / Vereinigtes Königreich |
| Ort | London |
| Zeitraum | 2/06/19 → 7/06/19 |
Bibliographische Notiz
Publisher Copyright:© 81st EAGE Conference and Exhibition 2019 Workshop Programme. All rights reserved.
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