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Welcome presentation
Jun 20, 2021 02:00 PM – 02:10 PM
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Opening notes
Jun 20, 2021 02:10 PM – 02:30 PM
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Session I : “The potential of Machine learning”
Jun 20, 2021 02:29 PM – 04:30 PM
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Talk 1.1 - Advancing Reservoir Simulation with Machine Learning
Jun 20, 2021 02:30 PM – 02:50 PM
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Talk 1.2 - What Can Algorithms Learn from Data & Knowledge to Make Better Reservoir Predictions?
Jun 20, 2021 02:50 PM – 03:10 PM
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Talk 1.3 - NVIDIA building blocks for ML based geoscience
Jun 20, 2021 03:10 PM – 03:30 PM
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Talk 1.4 - Applicability of ML in Capturing the First Principles of Fluid Flow in Porous Media
Jun 20, 2021 03:30 PM – 03:50 PM
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Session I Q&A
Jun 20, 2021 03:50 PM – 04:30 PM
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Session II : “Optimized workflows and the role of HPC”
Jun 20, 2021 04:29 PM – 06:30 PM
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Talk 2.1 - Automating subsurface property modeling through semi-supervised learning
Jun 20, 2021 04:30 PM – 04:50 PM
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Talk 2.2 - NVIDIA platform for AI and HPC, and applications to geosciences
Jun 20, 2021 04:50 PM – 05:10 PM
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Talk 2.3 - Open Seismic: A Toolbox for Seismic Interpretation
Jun 20, 2021 05:10 PM – 05:30 PM
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Talk 2.4 - KAUST Supercomputing Services for HPC and AI
Jun 20, 2021 05:30 PM – 05:50 PM
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Session II Q&A
Jun 20, 2021 05:50 PM – 06:29 PM
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End of Day 1
Jun 20, 2021 20 Jun, 2021 18:30
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Session III Panel discussion : "The future of ML in Geosciences and Engineering"
Jun 21, 2021 02:00 PM – 03:00 PM
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Session IV : Lightning Talks "Flow and rocks"
Jun 21, 2021 02:59 PM – 04:30 PM
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Talk 4.1 - Physics-informed neural network for high-frequency wavefield representation
Jun 21, 2021 03:00 PM – 03:10 PM
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Talk 4.2 - ExaGeoStat: Exploiting Data Sparsity in Earth System Models
Jun 21, 2021 03:10 PM – 03:20 PM
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Talk 4.3 - Bayesian Deep DCA: A New Approach for Well Oil Production Modeling and Forecasting
Jun 21, 2021 03:20 PM – 03:30 PM
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