Forskning ved Københavns Universitet - Københavns Universitet

Forside

Statistical modeling for facies-dependent seismic inversion

Publikation: KonferencebidragPaperForskningfagfællebedømt

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.

OriginalsprogEngelsk
Publikationsdato27 aug. 2018
Antal sider5
DOI
StatusUdgivet - 27 aug. 2018
Begivenhed88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, USA
Varighed: 14 okt. 201819 okt. 2018

Konference

Konference88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
LandUSA
ByAnaheim
Periode14/10/201819/10/2018
SponsorBGP, Chevron, et al., Kuwait Petroleum Corporation and Subsidiaries, Saudi Aramco, Royal Dutch Shell PLC

ID: 230793274