For its Hydrocarbon Processing (HP) brand, the AI was trained on over 400,000 pages of technical articles and data.
Instead of returning
a list of articles from a keyword search, the tool provides synthesized, direct answers to natural language questions, acting more like a consultant.
To ensure reliability and allow for deeper research, every answer includes citations that link back to the specific source articles in the archive.
The system is "ring-fenced," meaning it does not pull information from the open internet, which is intended to prevent inaccurate "hallucinations" and ensure the information is peer-reviewed and valid for critical industrial operations.
Gulf Energy also has World Oil AI (WO) for the exploration and production industry. WO has slightly more technical data within the knowledge
reservoir than HP, about 440,000 pages of technical content for WO and 400,000 for HP.
"We've moved from a search tool, where a subscriber would get 10, 15, 20 articles to read to get their answer, to really more of a consultant that they can query and get the answers to their questions," said John.
“The tool's primary objective is to transform the vast repository of industry-specific knowledge into an interactive and intuitive knowledge base, enabling engineers to quickly find solutions to complex technical challenges and stay ahead of industry trends.”
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