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@CytiVen @TCDAG
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misaelmmorales/README.md

Hola! πŸ‘‹

  • 🏝 My name is Misael Morales, I am from Venezuela, and I am currently a PhD candidate at The University of Texas at Austin.
  • πŸ’» My research is focused on the computational description of subsurface energy systems. I combine domain-specific knowledge with tools from machine learning, applied math, and statistics, for accurate characterization and forecasting of complex dynamical systems in the subsurface.
  • πŸŽ“ M.S. in Mathematics, B.S. in Applied Math and B.S. in Petroleum Engineering, all from the University of Tulsa.
  • 🌐 Website | Linkedin | ORCID | ResearchGate | Google Scholar
Reduced-order modeling Forward & Inverse modeling Physics-informed machine learning Uncertainty Quantification Data Assimilation Control & Optimization

Pinned

  1. Stochastic-pix2vid Stochastic-pix2vid Public

    Spatiotemporal forward proxy model for CO2 storage prediction

    Python 1 1

  2. Latent-Geo-Modeling Latent-Geo-Modeling Public

    Latent space variational forward and inverse geologic modeling

    Python

  3. Placement-Control-Optim-CO2 Placement-Control-Optim-CO2 Public

    Well placement and control optimization for CO2 sequestration

    MATLAB 1

  4. Ensemble-Model-Calibration-CO2 Ensemble-Model-Calibration-CO2 Public

    Ensemble modeling calibration for CO2 storage under geologic uncertainty

    Python

  5. AutoPetrophysics-GOM-CCS AutoPetrophysics-GOM-CCS Public

    Automatic well-log baseline correction and core2log rock classification for potential CO2 storage site characterization in the Gulf of Mexico.

    Python 1

  6. Anisotropic-Resistivity-Inversion Anisotropic-Resistivity-Inversion Public

    PINN-based inversion algorithm for parallel- and perpendicular-to-bedding plane resistivity

    Python