08 Apr Domain-Specific LLM for Oil and Gas Explained in SPE Webinar
Speakers: John Boden, CEO, and Cythia Alsup, CCO, i2k Connect
SPE Webinar Part 1: Introduction to Award-Winning AI for Oil and Gas
In a webinar hosted by the Society of Petroleum Engineers, i2k Connect introduced a domain-specific LLM for oil and gas designed to solve this exact challenge.
Watch the full session on demand: https://streaming.spe.org/introduction-to-award-winning-ai-for-oil-and-gas.
Gain instant access to this special webinar introducing EnRG-LLM—winner of the 2026 OTC Spotlight on New Technology Award with i2K Connect, the developers of EnRG-LLM.
The EnRG-LLM™ model is a fine‑tuned AI model using licensed access to SPE’s peer‑selected technical corpus in OnePetro (https://onepetro.org/). This domain‑adapted large language model delivers access to over 300,000 journals, articles, and papers.
Licensing the EnRG-LLM model and training it on your own vast archive of geological and geophysical information is enabled through the i2k AI Platform. RAG, Chat, GIS access, or API and workflow support via the i2k AI Platform delivers actionable intelligence to your engineers and geoscientists.
Watch this session to gain insight into the future of AI and unlocking new value at scale across the energy sector.
We will also be at OTC in Houston, Texas, 4-7 May 2026 at Booth 3560. Schedule time with our experts to see an EnRG-LLM model and i2k AI Platform demo live!
What you will learn in the webinar
In this session, you will see how a domain-specific LLM for oil and gas is being applied in real environments.
Key takeaways include:
- How domain tuning improves answer quality
- How to connect internal and external knowledge sources
- Where teams are seeing immediate operational impact
- What it takes to scale AI across engineering teams