Integration of geophysical data with information such as from boreholes and expert domain
knowledge is often performed as cognitive or explicit geological modeling when generating …

Iterative geostatistical seismic inversion methods are widely used to predict petro-elastic
rock properties from seismic reflection data. When the model perturbation technique uses …

Estimating a covariance model for kriging purposes is traditionally done using
semivariogram analyses, where an empirical semivariogram is calculated, and a chosen …

A determinant factor in generating qualified seismic images of subsurface layers is the
coherency of reflection events in pre-stack seismic data. Accordingly, this level of coherency …

Spafial inverse problems aim to characterize spafially distributed phenomena being a
subclass of more gen‐eral inverse problems. Fundamentally, any inference from an indirect …