Seismic Pattern Recognition: Automation of Processing and Interpretation
عنوان دوره: هجدهمین کنفرانس ژئوفیزیک ایران
کد مقاله : 1382-NIGS
نویسندگان
چکیده
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.
کلیدواژه ها
Title
Seismic Pattern Recognition: Automation of Processing and Interpretation
Authors
Abstract
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.
Keywords
Pattern Recognition, Seismic Processing, seismic interpretation, machine learning, Soft Computing