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Deep Neural Network and Multi-pattern Based Algorithm for Picking First-arrival Traveltimes
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
Abstract
Summary
Open-source deep learning library was applied to perform patter recognition procedure in order to estimate first-break times for land vibroseis dataset. To boost the efficiency of the algorithm, multiple conventional tools for finding first-breaks were implemented to provide needed patterns.
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