Powerful, intuitive search for the offshore energy industry
Finding the right document is still a challenge, even in today’s AI-powered energy industry. Getting a search engine to handle industry jargon is hard enough. When documents are scattered across SharePoint sites, file shares, and document management systems acquired over years of M&A activity, the challenge moves to the next level.
Flare’s solution to this problem isn’t simply to throw more technology at the problem. Large Language Models and GPTs have their place, but to understand that DDR is a Daily Drilling Report, and also a Daily Drilling Operations Report, and also a 6am Drilling Report, and 28 other aliases besides, and to work that out in a fraction of a second, requires a much more structured solution.
Our approach is to add a layer of context and understanding on top of our search technology, so that searching for DDR also finds DDOR, and that 204/20a-F1Y is understood to be a wellbore in the Schiehallion field – enabling more focussed, more relevant search results to be returned.
Flare’s Intelligent Search solution makes extensive use of the Flare Taxonomies to deal intelligently with oilfield terminology, while the Sirus Platform and its high performance graph database enables search results across millions of documents to be returned in seconds.
The Sirus Platform integrates with common industry document stores, like SharePoint, OpenText LiveLink and Documentum, as well as with file shares, so one search will find the document you’re looking for, no matter where it is.
With Flare’s Intelligent Search, there is no more doubt about whether a document can be found – either it’s in the search results, or it doesn’t exist.
