When is MCMC feasible for AVO inversion?

S. Kuppens, R. Madsen, Thomas Mejer Hansen

Publikation: Bidrag til bog/rapport/konferenceproceedingsKonferenceartikel i proceedingspeer review

Abstrakt

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.

OriginalsprogEngelsk
Titel80th EAGE Conference and Exhibition 2018
UndertitelOpportunities Presented by the Energy Transition
ForlagEuropean Association of Geoscientists and Engineers, EAGE
Antal sider2
ISBN (Elektronisk)9789462822542
DOI
StatusUdgivet - 2018
Begivenhed80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition - Copenhagen, Danmark
Varighed: 11 jun. 201814 jun. 2018

Publikationsserier

Navn80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition

Konference

Konference80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition
Land/OmrådeDanmark
ByCopenhagen
Periode11/06/1814/06/18

Programområde

  • Programområde 1: Data

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