Deep-learning seismic facies on state-of-the-art CNN architectures

Jesper Sören Dramsch, Mikael Lüthje

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

We explore propagation of seismic interpretation by deep learning in stacked 2D sections. We show the application of state-of-the-art image classification algorithms on seismic data. These algorithms were trained on big labeled photograph databases. We use transfer learning to benefit from pre-trained networks and evaluate their performance on seismic data.
Original languageEnglish
Publication date2018
DOIs
Publication statusPublished - 2018
Event2018 SEG International Exposition and 88th Annual Meeting - Anaheim, United States
Duration: 14 Oct 201819 Oct 2018
Conference number: 88

Conference

Conference2018 SEG International Exposition and 88th Annual Meeting
Number88
CountryUnited States
CityAnaheim
Period14/10/201819/10/2018

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