Event List

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