Keynote Presentation on AI and Machine Learning in the Oil & Gas and Energy Industry
Presented by: Dr. Zhu Han from the University of Houston
This presentation explores how Artificial Intelligence (AI) is driving transformative change within the Oil & Gas industry. We delve into AI’s potential to optimize resource allocation, reduce costs, and enhance efficiency. We also discuss key applications of AI, including enhanced subsurface imaging with various machine learning methods (supervised, self-supervised, and reinforcement learning), predictive maintenance, and risk assessment, highlighting its impact on safety, sustainability, and cost savings. Case studies demonstrate AI’s research implementation in subsurface signal processing and sensor optimization. We provide insights about challenges in AI adoption and offer strategies learned from experiences for successful practical development. Additionally, the presentation would discuss challenges in AI adoption, such as workforce readiness and data-centric issues, while offering strategies for successful implementation. It emphasizes AI’s potential to revolutionize the industry, promoting widespread adoption for a sustainable and efficient future.

IEEE's Professional Development Suite
Presented by: Susan Hutton, Director of IEEE Sales
Technology changes fast, and lifelong learning is a must for engineers and other technical professionals. IEEE offers a wealth of continuing education content for your own professional development, and provides resources that help your organization educate engineers effectively. In this session, you’ll learn about the latest continuing education resources from IEEE.

Arc-Flash Training: Learn how to improve safety and follow the NEC and NFPA 70E rules
Speaker: Andrew Gusev, Eaton
Eaton’s arc flash safety training shows you how to design and consider the rules and regulations when designing your facilities and determine incident energy values with arc flash boundaries. You’ll use that information to select electrical components designed to minimize arc flash hazards and to choose the right personal protective equipment (PPE) according to NFPA 70 and NFPA 70E. Each student will receive 1 PDH from Eaton for completing this course. Attendance will be verified after the event by the IEEE Houston Section.

Eaton Experience Center Tour
From a mock petrochemical refinery to a substation and power distribution grid, the Eaton Experience Center in Houston provides a global education solution with the unique ability to provide hands-on training in a true-to-life environment. Join us for a high level, one hour tour of this 55,000-square-foot facility.

This event is free to attend.  Please register to ensure your seat is saved!

Speaker Information:

Dr. Zhu Han
Professor, University of Houston, Texas
Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor at Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as in the Computer Science Department at the University of Houston, Texas.