A and
collaboration
What is the Agentic AI for Energy Hackathon Norway 2026 about?
This event aims to bring academia and industry professionals together to solve real-world domain problems with novel agentic AI techniques.
Our goals
Focus on critical domains
Production, drilling, reservoir and sustainability
Solving real-world problems Shaped by the demands of the energy and sustainability industries
Collaborative opportunities
With experts and mentors from leading energy and technology companies
A showcase platform
For the cutting-edge technologies shaping the energy transition
Our timelines
Schedule overview
Date
Events
February 16–27, 2026 Registration and team formation
March 2, 2026
March 4, 2026
March 4, 2026
March 11, 2026
March 12, 2026
March 13, 2026
Onboarding webinar and final teams announced
Lumi™ data and AI platform workshop
Hackathon: prototype stage starts
Hackathon: prototype stage ends
Hackathon presentation prep
Final presentation and winner announcement
Hackathon round
The Agentic AI for Energy Hackathon Norway 2026 showcases the agentic AI solutions to solve real-world energy challenges. Participants will design and develop prototype solutions for one of three key energy domains:
→ Production and reservoir
→ Drilling
→ Sustainability
What to expect
Open-ended challenges
Teams will select a domain and work on a real world challenge that stretches their problem solving abilities, leveraging the Lumi platform.
Prototype development
Teams are required to create a working prototype or proof-of-concept that addresses their chosen challenge, focusing on practicality, scalability, and industry impact.
Expert guidance
Mentors and industry professionals will be available to provide guidance and insights, helping teams refine their ideas and approaches.
Online submission
Each team will submit their solutions and results via a dedicated submission form.
Judging criteria
Prototypes will be evaluated on innovation, technical feasibility, scalability, accuracy, sustainability, and their potential impact for the energy sector.
Problem statements
Production and reservoir
Agentic AI-driven diagnostic assistant for oil and gas production analysis
This project aims to leverage agentic AI to accelerate oil and gas production diagnostics, via a natural language interface tailored for engineers. By combining large language models (LLMs) with structured and unstructured data fusion, the end product enables rapid, reproducible diagnostics and anomaly detection.
Drilling
Optimizing drilling operations with agentic AI
By automating the extraction of essential data from daily drilling reports, the project seeks to accelerate and improve drilling operation optimization. Leveraging LLMs, unstructured drilling reports are used to generate actionable insights and recommended action plans.
Sustainability
Agentic AI for carbon futures—smart carbon capture, utilization, and sequestration (CCUS) planning and storytelling
This project develops a system powered by LLM and retrieval-augmented generation (RAG), that matches CCUS projects with optimal emission sources based on location, capacity, and status, contextualizing each opportunity for integration. Participants can also create a generative storytelling tool that narrates the project’s environmental and economic impact.
Team requirements
Composition
→ You can join individually, or as part of a team.
→ Teams can consist of up to three members.
→ Participants must be:
- At university.
- Part of a Norwegian energy company or regulatory organization.
Credentials
→ All participants must have a valid company/organization or academic email address.
Exciting prizes await
1st Prize Student category
1st Prize Professional category
2nd Prize Professional category
All participants receive digital certificates and event t-shirts
