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The challenge

Having started operating these oil fields over a century ago, monitoring and control systems have evolved unrecognizably in that time frame.  But so have data integrity issues.  The number of records in the existing systems was vast (close to one million) and their data was not well-trusted by users. 

  • Capture: New tags had been added to field data capture systems without a process of recording why, leading to uncertainty over whether tags should remain in service long after they were in fact needed.
  • Storage: There was no consistent tag naming approach across the regions leading to confusion and errors in consolidated reporting and feeding corporate business systems. 
  • Sharing: Having multiple disparate legacy field data capture systems made it very taxing and error-prone to evaluate problems or opportunities that crossed several regions.

 


The solution

Implementation of best practices, building a real-time data governance process and architecting an enterprise-wide historian system assured a single, trusted source of data to optimize their assets. To make the solution manageable, data was prioritized and only those values known to be needed were included in the governance solution. Remaining values were not deleted, but simply marked as suspect. Each needed value was assigned an owner and a process by which it would be managed throughout its life. Suspect values could at any time be elevated in status to be included in the governance system.

The results

Real-time data from the enterprise historian immediately improved asset performance. It was used to optimize power consumption from co-generators, monitor thermal steam generation and distribution efficiency through the entire holistic operation, and feed the real-time predictive analytics for rotating equipment.

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