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Data-Driven Oil Fields 2017

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31 EPMAG.COM | DATA-DRIVEN OIL FIELDS | JANUARY 2017 tion that maintenance is needed, why not extend the mainte- nance interval and reduce maintenance costs? However, if CM identifies potential trouble before the sched- uled maintenance interval, companies can perform preventive maintenance on the indicated equipment and avoid the higher costs and consequences of unplanned downtime or production slowdowns. Maintenance can be run in well-planned campaigns, minimizing costly helicopter transports and shift arrangements. DNV GL consultants estimate that many industries could become at least 20% more efficient by making full use of digi- talization to provide greater and sometimes unexpected insight to predict failures, and to time interventions more efficiently. Impact on staffing CM and digitalization are becoming increasingly integral parts of oil and gas production and operations, but they offer partic- ular advantages for offshore platform operations like Ivar Aasen. Some 1,000 km (621 miles) from the Ivar Aasen fixed plat- form, a remote control room in Trondheim will provide onshore maintenance and engineering support, and expert analysis based on the same CM data seen in its offshore control room twin. One target for this approach is a permanently low-manned offshore installation. Right from the start, Ivar Aasen will be able to reduce the number of maintenance personnel offshore from 60 to 25. What might this mean in terms of savings? At the recent FPSO World Congress 2016 in Singapore, one FPSO owner stated that the average total costs of staffing offshore platform personnel is Aus $1 million (approximately US$760,000) per person per year. However, naturally, the amount saved will vary as conditions identified by monitoring may require more people to travel offshore to perform maintenance tasks. Event-based communication For Siemens, the key to effective CM begins with the very way in which data is collected. One of the advantages of the Siemens event-based approach is that it brings timestamps from the devices into the database. The old—and apparently still prevalent—method is just to sample, say, every third second. With sampling, you do catch something, but you can't catch everything. For example, if there are multiple events recorded in one sampling, you will not be able to see the sequence and possible cause and effect. In the Siemens approach with timestamps, however, if there is a sequence of events you can see which was first, second and so on. That makes it easier to identify root causes. The analysis of data becomes more reliable and solutions more productive. It should also be acknowledged that just how valuable CM proves to be in any operation depends in large part on the knowledge of the people receiving the data. The ability of field services personnel to understand data and recognize deviation is what turns data into information and information into decisions about whether or not to take action. The breadth of Siemens' portfolio of products and technol- ogies for offshore platform operations—and its field service personnel's experience with that portfolio—is a distinct advan- tage. The company supports Ivar Aasen both on- and offshore through a dedicated integrated operation competence center in Trondheim. Insights from experience As the Ivar Aasen platform had not yet begun production as this publication went to press, real data from its operations is not yet available. However, Siemens' contributions to the project were The steel jacket to the Ivar Aasen platform was lifted in place in June 2015.

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