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Technical Abstract

Leveraging a supervised machine learning toolkit for better seismic processing quality control Introduction

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Illustration of how machine learning application is used for Seismic global QC and detailled clusterization of data for tailored processing. Data reduction with deep neural network shows great efficiency to limit memory issue.
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Publications

EAGE - European Association of Geoscientists and Engineers

Authors

M. Chambefort, N. Salaun (CGG) ; E. Chautru (MinesParistech) ; S. Clémençon (Universite Paris Saclay)

Month

June

Copyright

© 2019 EAGE