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How Cognite provided fast, accurate condition monitoring for Aker BP

Siemens, a technology company focused on industry, infrastructure, transport, and healthcare, used Cognite Data Fusion® to enable real-time condition monitoring for Aker BP's Ivar Aasen onshore team.

Industry Challenge

Valuable data locked in inaccessible systems

To fully realize the benefits of digitalization in industry, having access to the right data at the right time and context is crucial. Obtaining such data remains a challenge in many cases due to the difficulty of accessing industrial data.

Aker BP granted Siemens access to all the Ivar Aasen field data. Siemens retrieved process data from their control system and the majority of third-party equipment data, bypassing the control system and directly feeding it into the Inverter Management Software (IMS).

Despite this, other systems containing valuable data, such as work orders, work permits, document systems, and HMS information, remained inaccessible to Siemens. By combining these data sources, significant potential benefits could be realized.



Clean, contextualized data

Siemens turned to Cognite, whose cloud-native industrial data platform was already in operation across Aker BP’s assets on the Norwegian continental shelf. Cognite Data Fusion® offered the capability to collect, clean, and contextualize more various kinds of data automatically and without space limitations.

With Aker BP’s authorization, Siemens redirected their system to read the company’s data from Cognite Data Fusion®, including data types that had previously been outside of Siemens’s scope. For Ivar Aasen, this meant 150,000 time series, 20 billion data points, and more than 400,000 documents made available through a single, secure point of entry.

Aker BP uses hybrid machine learning powered by Cognite Data Fusion saving 6 million a year


Intuitive and effective visualizations

Siemens estimates that attempts to run point-to-point integrations with all the individual source systems and ingest their data would have taken about 1,500 hours. In contrast, by integrating with Cognite Data Fusion®, they were able to pull in all the same data within only 200 hours, with a significant portion of that time dedicated to reviewing and determining the best way to visualize the data.

Artificial intelligence, machine learning, and tested algorithms make Siemens IMS visualizations intuitive and effective. With rapid access to live and historical data, regardless of original source or format, via a single point of entry, Siemens was ready to present their powerful processing, analysis, and display capabilities to Aker BP.

Armed with the power of prediction, Aker BP can now:

  • Boost safety by limiting the number of human personnel on the platform
  • Order fewer replacement parts and reduce the "just in case" stock
  • Deploy the right crew and tools when maintenance needs do arise
  • Bring down the cost of the consequences of equipment failure (such as unplanned downtime or production slowdown)

The seamless integration between Siemens and Cognite Data Fusion® resulted in 1,300 saved hours, with an estimated savings of $6.5 million from reduced operating expenses.



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