Leveraging Agentic AI to Transform Energy Sector Innovation
The energy sector is experiencing rapid transformation through artificial intelligence, with Agentic AI emerging as a powerful new paradigm. Unlike traditional AI tools, Agentic AI systems function as autonomous agents that can reason, plan, and execute complex tasks with minimal human intervention—adapting to new challenges and making informed decisions within their operational parameters.
This presentation explores the current state of Agentic AI and demonstrates how the energy sector can leverage these capabilities through specialized professional agents tailored to industry challenges. While agents often exist for RAG or similar applications, their adoption for more specialized tasks remains limited—representing significant untapped potential. We focus on building agents capable of utilizing complex technical materials and performing advanced professional workflows.
We will illustrate how such agents can execute tasks such as production forecasting, geostatistical analysis, cash flow modeling, and other domain-specific engineering functions. Workflows that traditionally require hours of manual effort can now be completed within minutes using Agentic AI support. A case study will also be presented where a recently published methane emission analysis methodology was transformed into a practical agent, enabling engineers to test and apply new findings more efficiently. This breadth of application highlights Agentic AI’s potential to accelerate innovation and enhance both decision-making speed and technical accuracy across disciplines.
Finally, we will outline the technical foundations, implementation strategies, and the potential for interconnected agent networks that collectively advance industry capabilities.
Registration closes on Monday, December 8 at 8AM MST.
Date/Time
Tuesday, December 9, 2025
Registration: 11:45 AM MST
Start Time: 12:00 PM MST
End Time: 1:00 PM MST
Location
Calgary Petroleum Club | 319 5 Ave SW, Calgary, AB, T2P 0L5
*This event will be in-person only, and will not be recorded.
Speaker Bios
Dr. Jingwen Zheng
Principal Data Scientist, Enverus
Jingwen Zheng is a Principal Data Scientist on the Research & Innovation team at Enverus. He earned his Ph.D. in Petroleum Engineering from the University of Alberta, and also holds an M.S. in Petroleum Engineering with a Certificate in Smart Oilfield Technologies from the University of Southern California, as well as a B.Eng. in Oil and Gas Storage and Transportation Engineering from the Beijing Institute of Petrochemical Technology.
At Enverus, he has led multiple projects developing advanced artificial intelligence solutions for the energy industry, with an emphasis on Gen-AI and Agentic AI applications that accelerate digital transformation across upstream operations and energy transition domains.
He is a co-inventor on several U.S. patents in predictive analytics and satellite-based activity detection and has co-authored multiple SPE papers on AI applications in petroleum engineering and methane emissions analysis. His professional interests include digital transformation, autonomous AI systems, and the integration of data-driven intelligence into energy sector workflows.
Dr. Juliana Leung
Professor, Department of Civil and Environmental Engineering and the School of Mining and Petroleum Engineering, University of Alberta
Juliana Leung (P.Eng.) is a Professor in the Department of Civil and Environmental Engineering and the School of Mining and Petroleum Engineering at the University of Alberta. She holds the Canada Research Chair in Data Analytics for Subsurface Flow Processes. She earned her B.Sc. (with Distinction) in Chemical Engineering from the University of Calgary, a M.S. and a Ph.D. in Petroleum Engineering from the University of Texas at Austin.
Her professional experience includes working as a reservoir engineer at Shell Canada Ltd. and completing summer internships at Sandia National Laboratories and ExxonMobil Upstream Research Company in Houston. She is currently supervising a team of more than ten graduate students, focusing on data analytics, AI applications, and modelling of subsurface fluid flow processes.
She has (co)-authored over 170 journal and conference papers. She is the recipient of numerous teaching and research awards, including the SPE Regional Distinguished Achievement Award for Petroleum Engineering Faculty. She serves on the board of the SPE Edmonton Section, chairs the SPE Education and Accreditation Committee, and is an editor for Geoenergy Science and Engineering and Applied Computing and Geosciences.
**Please Note
Lunch will be served. Please be sure to include your dietary restrictions during the online registration process so we can do our best to accommodate.
An event reminder will be sent the day before and the morning of the event.
Group Discounts
Group discounts are now available! A discount of 10% will be applied at checkout for groups of 6-9 people, and a discount of 15% will be applied for groups of 10+ people. Please note the discount will only be applied if all tickets are purchased in the same transaction.
If you wish to reserve a table, please email calgarysection@spe.org and specify your company name and the specific event title/date to hold the reservation. Please note that table reservations only apply to groups of 8.
Group Discount (10+ People)