Statistical modeling for facies-dependent seismic inversion

TY - CONF

T1 - Statistical modeling for facies-dependent seismic inversion

AU - Fernandes, Iris

AU - Mosegaard, Klaus

AU - Zunino, Andrea

PY - 2018/8/27

Y1 - 2018/8/27

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85059439846&partnerID=8YFLogxK

U2 - 10.1190/segam2018-2997761.1

DO - 10.1190/segam2018-2997761.1

M3 - Paper

AN - SCOPUS:85059439846

SP - 496

EP - 500

T2 - 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018

Y2 - 14 October 2018 through 19 October 2018

ER -