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 language | English |
|---|---|
| Title of host publication | 80th EAGE Conference and Exhibition 2018 |
| Subtitle of host publication | Opportunities Presented by the Energy Transition |
| Publisher | European Association of Geoscientists and Engineers |
| Pages | 5112-5114 |
| Number of pages | 3 |
| Volume | 7 |
| ISBN (Electronic) | 978-946282254-2 |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition - Copenhagen, Denmark Duration: 11 Jun 2018 → 14 Jun 2018 |
Conference
| Conference | 80th EAGE Conference and Exhibition 2018 |
|---|---|
| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 11/06/18 → 14/06/18 |
Programme Area
- Programme Area 1: Data
Fingerprint
Dive into the research topics of 'When is MCMC feasible for AVO inversion?'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver