Natural gas detection in onshore data using transfer learning from a LSTM pre-trained with offshore data

Author:

Fernando Santos Luiz1,Gattass Marcelo1,Correa Silva Aristofanes2,Miranda Frederico3,Siedschlag Carlos3,Ribeiro Roberto3

Affiliation:

1. PUC-Rio

2. UFMA

3. Eneva Company

Publisher

Society of Exploration Geophysicists

Reference20 articles.

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2. Applications of texture attribute analysis to 3D seismic data

3. Seismic fault detection in real data using transfer learning from a convolutional neural network pre-trained with synthetic seismic data

4. dGB Earth Sciences, 1987, Open seismic repository—Project Netherlands offshore f3 block—Complete, https://terranubis.com/datainfo/Netherlands_ Offshore_F3_Block_-_Complete, accessed 15 December 2018.

5. Di, H., Z. Wang, and G. AlRegib, 2018a, Deep convolutional neural networks for seismic salt-body delineation: Presented at the AAPG Annual Convention and Exhibition.

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1. Building training data set for deep learning-based P- and S-wave separation: Field data case;First International Meeting for Applied Geoscience & Energy Expanded Abstracts;2021-09-01

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