Can Machines Learn To Pick First Breaks As Humans Do?
L. Yalcinoglu and C. Stotter
Event name: First EAGE/PESGB Workshop Machine Learning
Session: Poster Session
Publication date: 30 November 2018
Info: Extended abstract, PDF ( 463.79Kb )
Price: € 20
Machine learning is a well-suited tool for first break picking since the process relies on detecting similar features between the seismic traces and thus is a kind of pattern recognition problem. The method we present in this paper applies support vector machine (SVM) as a machine learning algorithm for first break picking which achieve high accuracy.