Alexis Koulidis
Affiliations
Assistant Professor
University of Calgary
Contact information
Background
Educational Background
Diploma (5-Year Integrated Master Degree) Mineral Resources Engineering, Technical University of Crete, 2015
MSc Petroleum Engineering, Montanuniversität Leoben, 2017
PhD Energy Resources and Petroleum Engineering, King Abdullah University of Science and Technology, 2023
Biography
Dr. Alexis Koulidis is an Assistant Professor in Intelligent Drilling and Completion within the Department of Chemical and Petroleum Engineering at the Schulich School of Engineering, University of Calgary. He holds a Diploma (5-year Integrated Master's) in Mineral Resources Engineering from the Technical University of Crete, an M.Sc. in Petroleum Engineering from Montanuniversität Leoben, and a Ph.D. in Energy Resources and Petroleum Engineering from King Abdullah University of Science and Technology (KAUST). Prior to joining the University of Calgary, he served as a Postdoctoral Researcher at Delft University of Technology (2023–2026). Dr. Alexis Koulidis’s research and teaching expertise centers on drilling engineering across oil & gas, underground thermal energy storage (UTES), groundwater, and geothermal applications. His core specializations include drilling fluid design and hydraulics, drill bit mechanics and downhole sensing, and well integrity. His research program operates across four integrated pillars: near-bit and surface sensing, advanced well integrity and completions, real-time drilling data analytics and AI-driven data integration using computer vision and edge analytics.
Research
Areas of Research
- Sensing and Measurement Technologies: Technology development for drill bit and near-bit sensing, and surface measurement systems.
- Advanced Well Integrity and Completion Systems: Sensor-enabled downhole systems, completion technologies, and long-term integrity management for oil & gas, geothermal, and UTES wells.
- Real-Time Monitoring and Predictive Modelling: Real-time processing and interpretation of drilling data, wellbore condition assessment and physics-based predictive modeling.
- Data Integration and Automation: Multi-source data integration, data quality validation, computer vision, and edge analytics.
- Geothermal and Underground Thermal Energy Storage: Drilling and completion technologies for geothermal systems and underground thermal energy storage, including field testing, systems operations and demonstration.
Publications
More Information
Dr. Koulidis's group is looking for motivated graduate students to work on the drilling challenges associated oil & gas, underground thermal energy storage and geothermal.
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