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Hola! 👋

  • 🏝 My name is Misael Morales, I am from Venezuela, and I am currently a PhD candidate at The University of Texas at Austin.
  • 💻 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.
  • 🎓 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

Misael M. Morales's Projects

ames-housing-regression-challenge icon ames-housing-regression-challenge

Kaggle challenge "House Prices - Advanced Regression Techniques". Predicting sales prices and from a multivariate data set. EDA, comparison of different regression techniques, and model testing.

autopetrophysics-gom-ccs icon autopetrophysics-gom-ccs

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

bem-solver icon bem-solver

Boundary Element Method for the Dirichlet Problem for Laplace's Equation on a Disk

directional-drilling-program icon directional-drilling-program

3D drilling simulator with directional survey estimator & visualizer, drag and torque calculation, and casing program design.

geostatspy icon geostatspy

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

gmm-optim icon gmm-optim

Use the E-M algorithm for a multiclass Gaussian Mixture Model, and further optimize using an unconstrained derivative-free optimizer and a BFGS Quasi-Newton optimizer.

mv-production-prediction icon mv-production-prediction

Comparison of several regression techniques for prediction production for a multivariate unconventional dataset.

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