Student Researchers

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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.

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

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

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