Supervised Students

  • Honggeun Jo (Ph.D. Student)
    • ​​​​​​Geological modeling, new subsurface modeling methods
    • Improved surface-based models, geological datasets, numerical analogs, utilizing process-based models and production data
    • ​Started Ph.D. Fall, 2017.





  • Azor Nwachukwu (Ph.D. student, joint with Larry Lake)
    • ​​Machine learning, Reservoir modeling, Geostatistics
    • ​Cosupervised with Dr. Lake






 



  • Heehwan Yang (Ph.D. student)
    • Reservoir modeling, machine learning
    • Resampling and extracting information from numerical reservoir analog models
    • ​Started Ph.D. Fall, 2017.







  • Javier Santos (new Ph.D. student, fall 2018)
    • Upscaling, Geostatistics, Shale HP flow simulations, Machine learning
    • Welcome! Starting PhD Fall, 2018.









  • Wendi Lui (new Ph.D. student, fall 2018)
    • Reservoir modeling, machine learning, unconventional modeling with multi-scale, multivariate, and spatial.
    • Welcome! Starting PhD Fall, 2018.






  • Jack Xiao (new Ph.D. student, fall 2018, joint with John Foster)
    • Geostatistical modeling, Multivariate, Spatiotemporal modeling, Machine learning
    • Texas induced seismicity statistical analysis, statistical modeling in collaboration with Bureau of Economic Geology of the Jackson School of Geosciences.
    • Welcome! Starting PhD Fall, 2018.




  • Jonathon Crammer (undergraduate summer intern, joint with George Pemberton, University of Alberta, Canada and Erin Pemberton, ConocoPhillips)
    • Data analysis, Statistics, Neurology, Biochemistry, Geology, Artificial intelligence, Cybernetics, Geospatial, Education psychology
    • Project on Modeling Degree of Bioturbation by Quantifying Spatial Features jointly with Dr. Erin Pemberton (ConocoPhillips) and Prof. George Pemberton (University of Alberta)


Ph.D. Committees

The following students are supervised by other professors, but I participate actively on their Ph.D. committees.  I have only listed some of these students.


  • Andrew Beck (Ph.D. Student, Operations Research / Industrial Engineering)
    • Decision analysis, Risk aversion, Utility theory, Bayesian statistics, Unconventional (member of Ph.D. committee, Dr. Eric Bickel supervising)








  • Cesar Soares (Ph.D. Student, Petroleum and Geosystems Engineering)
    • Drilling optimization, Rate of penetration modeling, Real-time model fitting, Real-time operational parameter selection, Machine learning, Optimization (member of Ph.D. committee, Dr. Ken Gray supervising, completed Q3, 2018)

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  • Chiranth Hedge (Ph.D. Student, Petroleum and Geosystems Engineering)
    • Machine Learning, Deep Learning, Bayesian Statistics, Computational Statistics, Drilling Analytics, Optimization, Data Science, Predictive Analytics, Statistical Learning, Non-parametric statistics, Bayesian Modeling (member of Ph.D. committee, Dr. Ken Gray supervising, completed Q3, 2018)




  • Chao Gao (Ph.D. Student, Petroleum and Geosystems Engineering)
    • Coupled geomechanics and reservoir simulator (member of Ph.D. committee)









  • Peidong Zhao (Ph.D. Student, Petroleum and Geosystems Engineering)
    • Reservoir Geomechanics, Hydraulic Fracturing Simulation, Completion and Productivity Enhancement (member of Ph.D. committee, Supervised by Dr. Gray)









  • Peixi Zhu (Ph.D. student, Petroleum and Geosystems Engineering)
    • CO2 sequestration, prevention and mitigation of seal leaks(member of Ph.D. committee, Supervised by Dr. Balhoff)









  • Jose Salazar (M.Sc. student, Petroleum and Geosystems Engineering)
    • Spatial continuity modeling










Here are many of the students that I work with here at the University of Texas at Austin.  The Supervised Students include those students that I supervise or co-supervise directly.  These are followed by some of the students that I participate actively on their PhD committees.


I appreciate the opportunity to work with so many great individuals and to be part of their professional development. I recall the statement of Professor Lowe as he received a 2018 award from the SEPM, he stated that we faculty are carried on the shoulders of our students.  I am so grateful for the innovation, creativity and hard work of these students. 

Michael Pyrcz, P.Eng., Ph.D.