When is MCMC feasible for AVO inversion?

S. Kuppens, R. Madsen, Thomas Mejer Hansen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingspeer-review

Abstract

I show that one is able to use a McMC method for solving the AVO problem. A linear forward model is used for inversion of synthetic datasets, each with different signal-to-noise ratios. The (mean of the) obtained posterior distribution is compared to the closed-form expression (MAP-solution), to conclude that this approach samples the right distribution. An autocorrelation analysis is applied to obtain the autocorrelation time τ for each posterior distribution. One finding is that for each S/N ratio, τ stagnates. Furthermore, an exponential relation is found between S/N and τ.

Original languageEnglish
Title of host publication80th EAGE Conference and Exhibition 2018
Subtitle of host publicationOpportunities Presented by the Energy Transition
PublisherEuropean Association of Geoscientists and Engineers, EAGE
Number of pages2
ISBN (Electronic)9789462822542
DOIs
Publication statusPublished - 2018
Event80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition - Copenhagen, Denmark
Duration: 11 Jun 201814 Jun 2018

Publication series

Name80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition

Conference

Conference80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition
Country/TerritoryDenmark
CityCopenhagen
Period11/06/1814/06/18

Programme Area

  • Programme Area 1: Data

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