Abstract
To improve seismic inversion, we propose to use prior information from empirical estimates of spatial rock property distributions obtained from outcrop training images. Using photographic images of chalk outcrops, we derive empirical distributions of spatial rock property gradients and estimates of spatial correlations. We use this information as a priori information in probabilistic, seismic inversion. Our results are realistic, high-resolution posterior samples of subsurface models, whose variability can be used as an estimate of model uncertainties.
| Original language | English |
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| Publication date | 27 Aug 2018 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 27 Aug 2018 |
| Event | 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States Duration: 14 Oct 2018 → 19 Oct 2018 |
Conference
| Conference | 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 |
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| Country/Territory | United States |
| City | Anaheim |
| Period | 14/10/2018 → 19/10/2018 |
| Sponsor | BGP, Chevron, et al., Kuwait Petroleum Corporation and Subsidiaries, Saudi Arabian Oil Company, Royal Dutch Shell PLC |