Dr. Michael Pyrcz

Professor

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Biography

Michael Pyrcz is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering at the University of Texas at Austin. His research encompasses various aspects of petroleum engineering, including geologic carbon storage, integrated reservoir characterization, and petrophysics. With a focus on leveraging data science, such as spatial data analytics and geostatistical methodologies, Dr. Pyrcz aims to optimize resource management while minimizing environmental impacts. He actively involves students in developing innovative subsurface data science techniques. Dr. Pyrcz has contributed significantly to the field through numerous publications and educational content accessible online, promoting advancements in engineering and geosciences.

Research Interests

Awards

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Lockheed Martin Award Excellence Engineering Teaching

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International Association Mathematical Geosciences Distinguished Lecturer

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Society Petroleum Engineers, Gulf Coast Section Data Science Engineering Analytics Award

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Outstanding Technical Editor

Courses

PGE 338: Data Analytics Geostatistics PGE 383: Stochastic Methods Reservoir Modeling PGE 383: Subsurface Machine Learning

Requirements for University of Texas at Austin

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:79
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree from a regionally accredited institution
Application Checklist
  • Online application
  • Application fee
  • Official transcripts
  • Statement of Purpose
  • Three letters of recommendation
  • CV/Resume
Specialization Notes

General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.