Cognite launches native simulator integration workflows to advance industrial AI/ML digital solutions at Scale - The EE

Cognite launches native simulator integration workflows to advance industrial AI/ML digital solutions at Scale

Cognite, a global specialist in industrial software has announced the launch of native simulator integration and Hybrid AI workflow capabilities for its Industrial DataOps platform, Cognite Data Fusion. These hybrid AI workflows combine the best of data-driven machine learning and physics-based modeling to deploy advanced digital solutions at scale, including solutions for sensitive production use cases that can reduce costs and increase proactive decision-making that can optimise production.

With Cognite Data Fusion, industrial organisations can automate routine simulator studies or monitor problem cases by automatically running a simulator with live data, collecting the results, triggering actions, and visualising output. Cognite Data Fusion is vendor-agnostic and can integrate with simulations such as Unisim, Olga, Turbulent Flux, Multiflash, and Hysys. Additionally, Cognite recently announced a strategic partnership with SLB (formally Schlumberger), a global industry simulator, software, and services leader, to simplify and supercharge access to Hybrid AI solutions for energy industry customers.

Neptune Energy, the operator of Cygnus, leveraged Cognite Data Fusion to develop a Hybrid AI well modeling and monitoring application. Through a native integration with PROSPER, a well and pipeline modeling simulator, Cognite Data Fusion delivers automated well modeling and near-real-time well monitoring, eliminating manual processes and achieving higher volumes of broader surveillance and higher quality assessments. As a result of the Hybrid AI workflows in Cognite Data Fusion, Neptune saw an:

  • 80% reduction in time spent on data mining and manipulation
  • 67% reduction in time spent on data analysis and validation
  • Increased proactive decision-making due to near real-time surveillance in a common application that allows for multi-disciplinary collaboration

“Cognite Data Fusion provides our engineers with a wealth of efficiencies by delivering mined, contextualised, modeled, and visualised data for them to act on. Now, they can dedicate more time to interpreting the results and making collaborative, data-driven decisions,” says Alan Bibb, global IT business partner manager at Neptune Energy. “With the Hybrid AI workflows in Cognite Data Fusion, we’re able to focus on more holistic engineering optimisation and improve time to value.”

“Digital transformation starts and succeeds with simple access to complex industrial data. Today’s announcement ensures that Cognite Data Fusion provides one central, contextualised source of truth for an organisation’s data for both Hybrid AI models and the subject matter experts supervising the decision-making process, which is critical for asset and production optimisation,” says Geir Engdahl, co-founder and CTO, Cognite.

Cognite Data Fusion makes asset data more accessible and meaningful to humans and machines, delivering trusted data and insights to unlock opportunities in real-time, reduce costs, and improve the integrity and sustainability of your operations.

To learn more about Cognite Data Fusion visit here.

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