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Can Machines Learn To Pick First Breaks As Humans Do?Normal access

Authors: L. Yalcinoglu and C. Stotter
Event name: First EAGE/PESGB Workshop Machine Learning
Session: Poster Session
Publication date: 30 November 2018
DOI: 10.3997/2214-4609.201803026
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 463.79Kb )
Price: € 20

Summary:
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.


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