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.
|Publication status||Published - 2018|
|Event||2018 SEG International Exposition and 88th Annual Meeting - Anaheim, United States|
Duration: 14 Oct 2018 → 19 Oct 2018
Conference number: 88
|Conference||2018 SEG International Exposition and 88th Annual Meeting|
|Period||14/10/2018 → 19/10/2018|