Michael J. Pyrcz, PhD
Dr. Pyrcz recently accepted the role of Associate Professor in the Department of Petroleum and Geosystems Engineering at the University of Texas at Austin, with an assignment in the Bureau of Economic Geology, Jackson School of Geosciences. Michael teaches and supervises research on subsurface data analytics, geostatistics, and machine learning. In addition, Michael accepted the role of Principal Investigator for the College of Natural Sciences, the University of Texas at Austin, freshman research initiative in energy data analytics and teaches widely in the energy industry.
Before joining the University of Texas at Austin, Michael conducted and led research on reservoir data analytics and modeling for 13 years with Chevron’s Energy Technology Company. He became an enterprise-wide subject matter expert. Michael has written over 45 peer-reviewed publications, a Python package and a textbook on spatial data analytics with Oxford University Press. He is an associate editor with Computers and Geosciences. Dr. Pyrcz is an AAPG 2020 Distinguished Lecturer on the topic of “Data Analytics and Machine Learning for Energy Geoscience and Engineering.” Michael is also the recipient of the SPE Regional Data Science and Engineering Analytics Award for the SPE Gulf Coast North America Region. The SPE Regional Technical Awards acknowledge exceptional contributions to the Society of Petroleum Engineers at the section or regional level and recognize singular devotion of time and effort to the programs and development of technical expertise.
Dr. Pyrcz teaches the following course: