22

Jun 2021

Session VII Q&A
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22

Jun 2021

Talk 7.4 - Artificially intelligent waveform inversion: physics-guided neural network functions
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22

Jun 2021

Talk 7.3 - Fast and reliability-aware seismic imaging with conditional normalizing flows
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22

Jun 2021

Talk 7.2 - Computational Methods for Seismic Inversion: Data-driven VS Physics-driven or Combined?
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22

Jun 2021

Talk 7.1 - Machine learning to replace or to augment the physics?
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22

Jun 2021

Session VII : “The delicate balance between the ML and the physics”
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22

Jun 2021

Session VI Q&A
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22

Jun 2021

Talk 6.6 - Applying Machine Learning to Satellite Imagery for Tracking Deforestation
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22

Jun 2021

Talk 6.5 - Scattered wavefield reconstruction and velocity inversion based on physics-informed neural networks
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22

Jun 2021

Talk 6.4 - Is it time to swish? Comparing activation functions in solving the Helmholtz equation using physics-informed neural networks
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22

Jun 2021

Talk 6.3 - Unsupervised deep learning inversion of seismic data based on physical-driven
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22

Jun 2021

Talk 6.2 - Train Deep Learning Models Using Outcrops Geological Images Datasets
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22

Jun 2021

Talk 6.1 - Fracture recognition with U-net and pixel-based automatic fracture detection
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22

Jun 2021

Session VI : Lightning Talks "Physics and pixels"
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21

Jun 2021

End of Day 2
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21

Jun 2021

Session V Q&A
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21

Jun 2021

Talk 5.4 - Deep learning in EM inversion with prior and posterior shaping
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21

Jun 2021

Talk 5.3 - Machine learning applied to seismic reflection and well-log data for reservoir characterization
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21

Jun 2021

Talk 5.2 - Active learning to reduce human effort needed for seismic data processing parametrization
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21

Jun 2021

Talk 5.1 - Deep learning for interpreting geologic structures
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