People

Faculty

The faculty leading this IAP are uniquely capable to address these challenges, given our strong knowledge concerning geology, geophysics, gomechanics, drilling and completions, reservoir engineering, formation evaluation, geostatistics, reservoir modeling, data analytics and machine learning.

John T. Foster, Ph.D., P.E.

Professor

https://johnfoster.pge.utexas.edu/

john.foster@utexas.edu
Michael Pyrcz, Ph.D., P.Eng.

Professor

daytum | Twitter | YouTube| LinkedIn | Webpage | Book | Machine Learning e-Book | Geostatistics e-Book | GoogleScholar

mpyrcz@austin.utexas.edu

Ph.D. Student Researchers

Muhammad Muneeb Akmal

Physics-informed machine learning for subsurface forecast proxy models.

Supervisors: Drs. Pyrcz and Sephernoori
Suin Choi

Explainable subsurface modeling with physics and machine learning.

Supervisor: Dr. Pyrcz

LinkedIn
Byungmin Chung

Supervisor: Dr. Pyrcz

bc39372@my.utexas.edu
Dursun Dashdamirov

Resource data analytics, geostatistics and machine learning.

Supervisors: Drs. Foster & Pyrcz

dd37853@my.utexas.edu
Deena A. Elhossary

Carbon storage and enhanced production modeling and optimization.

Supervisors: Drs. Mohanty & Pyrcz

LinkedIn
Yining Huang

Training subsurface deep learning models.

Supervisors: Drs. Pyrcz and Tang

LinkedIn
Alexander Ifenaike

Spatial Data Analytics and Machine Learning for Subsurface Resource Modeling

Supervisor: Dr. Pyrcz
Youngkeun Jung

Supervisor: Dr. Pyrcz

yj7563@my.utexas.edu
Ryan McGuigan

Uncertainty modeling robustness for optimum subsurface resource development.

Supervisors: Drs. Foster & Pyrcz

LinkedIn
Eldar Sharafutdinov

Spatiotemporal, multiscale modeling of methane emmissions to support green house gas reductions.

Supervisors: Drs. Pyrcz & Ravikumar
Dinghan Wang

Robust unconventional resource spatial data analytics, geostatistics and machine learning workflows.

Supervisors: Drs. Pyrcz, Foster, and Lu
Qianqian Zhou

3D subsurface deep learning surrogate models.

Supervisors: Drs. Pyrcz & Prodanovic