Seismic Pattern Recognition: Automation of Processing and Interpretation

Is it possible to make every step of seismic processing and interpretation automatic? Is it feasible to have experiences of the best seismic processors of the world in a vital step like velocity analysis? The answer to this question is hidden in definitions of seismic pattern recognition terminology, it is essential to know about many parameters like picking representative objects with all possible spatial variations, minimum size of training set, knowledge on prior probabilities, seismic attribute redundancy reduction, choice of classifiers and posterior probabilities combinations. The issue of categorizing data to different classes has significant and wide ranges of applications in analysis and interpretation of seismic data.