Classification of salt-contaminated velocities with self-organizing map neural network
Lin Zhang, Al Fortier, David C. Bartel · The Leading Edge · 2002
In this article we will discuss a self-organizing map neural network for distinguishing salt-contaminated velocities from sediment-only velocities. Our objective is to demonstrate the capability of the self-organizing mapping neural network in automatic classification of salt-contaminated velocities as a replacement for interpreter's picking. The classified salt-contaminated velocities are then used to build a velocity model for subsalt imaging. We will illustrate our work with a Gulf of Mexico data set.