Abstract

Neuronal facies Classification using neural network technology (NNT) uses an artificial intelligence process that looks for recurring patterns of traces and builds a set of model traces that are representative of the entire dataset. It works by classifying seismic traces in an interval into seismic facies based on trace shape. Samples along the traces are quantified and the trace shape becomes a function of the rate of change (slope) from one sample point to another. The resulting seismic facies are distributed in a geologically meaningful order.