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Wendi Liu (2nd Year PhD)
Data analytics, geostatistics and machine learning for unconventional reservoirs including feature engineering, anomality detection and spatiotemporal geostatistical and machine learning accounting for sampling bias.
Supervisor: Dr. Pyrcz

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Jose Salazar (2nd Year PhD) 
Data analytics, geostatistics and machine learning for unconventional reservoirs including geostatistical significance and robust trend models.
Supervisor: Drs. Lake and Pyrcz

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Javier Santos (2nd Year PhD)
Multiscale spatial modeling with data analytics and machine learning, new methods to integrate physics and fast surrogate models.
Supervisors: Drs. Prodanovic and Pyrcz

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Honggeun Jo (3rd Year PhD)
Geostatistical and machine learning for heterogeneity modeling, including realistic training models and conditional machine learning-based models.
Supervisor: Dr. Pyrcz

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Wen Pan (4th Year PhD)
Machine learning for realistic subsurface models integrating petrophysical and geophysical data. 
Supervisors: Drs. Torres-Verdin and Pyrcz 

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John D’Angelo (4th Year PhD)
Multi-objective geosteering through integration of directional drilling and geophysical data".
Supervisor: Dr. van Oort
Currently funded by RAPID consortium (PI: Prof. Eric van Oort). As DIRECT grows, will be supported by DIRECT.

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Eduardo Maldonado (1st Year PhD)
Generalizable machine learning-based surrogate models for flow forecasting.
Supervisor: Dr. Pyrcz

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Akhil Potla (1st Year MSc) 
Integration of engineering physics into machine learning-based flow forecasts. Initial work with capacitance resistance modeling. 
Supervisor: Dr. Foster

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Midé Mabadeje (1st Year PhD)
Novel data analytics and machine learning workflows to address various sources of bias that impact decision making.
Supervisor: Dr. Pyrcz