Modeling conditional distributions of facies from seismic using neural nets

Many geostatistical methods for integrating seismic data rely on a screening assumption of further away seismic events by the co-located seismic datum. Such assumption makes the task of modelling cross-covariances and local conditional distributions much easier. In many cases, however, the seismic data exhibit distinct and locally varying spatial patterns… (More)