New technologies based on Artificial Intelligence are now making significant inroads into the E&P Sector, especially within the real-time, data-heavy domains of operational drilling and reservoir surveillance. AI/ML algorithms are also playing an ever more prominent role in the predictive maintenance of facilities, in reservoir modelling, production forecasting and helping to manage information.

Testing novel approaches to information management is not always easy. Now Flare’s open Sirus framework, including the Flare API, makes it much simpler.

Find out how one of Flare’s clients combined their research code with the Sirus framework to use a knowledge-based approach to accelerate their AI initiatives.

How to accelerate your AI/ML initiatives by integrating with a knowledge-driven approach

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