26 May Deep-Dive Into Award-Winning AI for Oil and Gas
Speakers: John Boden, CEO and Joshua Eckroth, PhD, Chief Architect, i2k Connect

SPE Webinar Part 2: Deep-Dive Into Award-Winning AI for Oil and Gas
In Part 2 of this SPE webinar series, i2k Connect CEO, John Boden, and Chief Architect, Josh Eckroth, deliver a deeper look into how a domain-specific LLM for oil and gas is being applied to real-world challenges.
Watch the full session on demand: https://streaming.spe.org/deep-dive-into-award-winning-ai-for-oil-and-gas-2
This session explores the EnRG-LLMâ„¢ model, winner of the 2026 OTC Spotlight on New Technology Award.
The EnRG-LLM model is a fine-tuned domain-specific AI model built using licensed access to the Society of Petroleum Engineers peer-selected technical corpus in OnePetro (https://onepetro.org/). Managers and technical teams will benefit from easily accessing petroleum geoscience and engineering knowledge for their everyday workflows.
Alongside the i2k AI Platform, organizations can leverage large volumes of distributed legacy data with RAG, Chat, GIS access, API integration, and workflow support.
Watch this session to see how domain-specific AI is being used to allow teams to accelerate AI adoption and generate actionable insights from their existing data.
