Resumé
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.
Originalsprog | Engelsk |
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Titel | 80th EAGE Conference and Exhibition 2018 |
Undertitel | Opportunities Presented by the Energy Transition |
Forlag | European Association of Geoscientists and Engineers |
Sider | 5112-5114 |
Antal sider | 3 |
Vol/bind | 7 |
ISBN (Elektronisk) | 978-946282254-2 |
DOI | |
Status | Udgivet - 2018 |
Udgivet eksternt | Ja |
Begivenhed | 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition - Copenhagen, Danmark Varighed: 11 jun. 2018 → 14 jun. 2018 |
Konference
Konference | 80th EAGE Conference and Exhibition 2018 |
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Land/Område | Danmark |
By | Copenhagen |
Periode | 11/06/18 → 14/06/18 |
Programområde
- Programområde 1: Data