In 2009 Statoil rolled out a performance incentive business model ensuring high quality real-time drilling data deliverables [SPE 127799]. But how do you measure performance? And how do you create a system automatically monitoring quality all the way from the rig and into target systems onshore?

Talking to operators and service companies, Statoil concluded that our industry seemed to be at a starting point when it comes to deploying automated monitoring systems targeting both availability and data content.

A technology development project was established in parallel with the performance incentive business model [SPE 127799], with the following goals:

  1. Ability to monitor real-time drilling data streams from Statoil's drilling operations into all target systems

  2. Automated alarms triggered by data content automatically notifying operators on e-mail/SMS

  3. Automatically monitoring service company performance, including KPI's

The idea was simple: Implement a proactive monitoring system tailor-made for the drilling domain which automatically alerts user whenever there are problems. Instead of having 15 resources on a continuous 24/7 rotation manually monitoring the data streams, the system shall automatically monitor and alert on SMS/E-mail whenever a problem needs attention.

We will present our initial thoughts, what we learned, and the final results:

  1. Use cases for a real-time drilling data monitoring system

  2. Design, specification and algorithms

  3. Implementation and deployment

  4. Experiences and challenges along the way

We will present our observations and conclusions on developing this technology, the main conclusion being that a proactive alarm system has drastically improved the quality of real-time data deliverables to Statoil's drilling assets, and also reduced the number of people needed to maintain quality data streams.

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