April 4, 2030


Description

There is a digital revolution underway in all sectors of our economy. Many students and working professionals are learning about big data, big data analytics and data-driven prediction for the first time. Yet, for energy engineers and geoscientists this is all familiar, as I like to say, ‘Energy has been working in big data long before tech learned about big data’. We integrate large and varied datasets with geostatistics and data driven prediction to solve difficult problems and support high-value decisions all the time. I teach data science, spatial data analytics and machine learning to energy professionals and I’ve seen first-hand that they are well-prepared to augment their skills to open up new opportunities.


Featured Speakers

Speaker: Michael Pyrcz, PhD
Speaker Michael Pyrcz, PhD
Michael is an associate professor in the Cockrell School of Engineering and the Jackson School of Geosciences at The University of Texas at Austin where he teaches and supervises research on subsurface data analytics, geostatistics, and machine learning. In addition, Michael accepted the role of Principal Investigator for the College …

Michael is an associate professor in the Cockrell School of Engineering and the Jackson School of Geosciences at The University of Texas at Austin where he 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 UT Austin, freshman research initiative in energy data analytics and teaches widely in the energy industry.


Before joining the UT Austin, Michael conducted and led research on reservoir data analytics and modeling for 13 years with Chevron’s Energy Technology Company. Michael has written over 45 peer-reviewed publications, a Python package and a textbook on spatial data analytics with Oxford University Press.

Full Description



Organizer

SPE-GCS Administrator


Date and Time

Thu, April 4, 2030

noon - 2 p.m.
(GMT-0500) US/Central

Pricing

  • On Demand Recording
    $5.00
    (ends 04/04/2030)
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Location

Hyperlink to the recording will be provided after completing your registration.