Pricing models vary among process manufacturing analytics providers, including everything from flat-rate pricing, usage-based pricing, tiered pricing, and user-based pricing. These days, many manufacturing analytics solutions use ‘per-user’ pricing, with the licensing cost going up according to the number of individuals using the tools at a facility. The upside of per-user pricing is that for small facilities, or for organisations with few people monitoring and analysing process data, it can make for a relatively-cost effective solution. The flipside, obviously, is that for data-driven companies that believe in giving every operator, engineer, and SME the ability to contribute to improving plant performance, per-user pricing can become very expensive very quickly. S-Oil – One of the world’s largest refineries reduces costs and improves operational analytics infrastructure by migrating from PI System to dataPARC S-Oil’s story Headquartered in Seoul, South Korea, and a wholly owned subsidiary of Saudi Aramco, S-Oil Corporation is the third largest refinery in South Korea, producing petroleum, petrochemical, and lubricant products for global distribution. S-Oil’s Onsan Refinery in Ulsan has a capacity of more than 650k barrels per day. S-Oil’s challenges S-Oil had been using OSIsoft’s PI System for process data management since it was introduced in 1997. Over the course of 20+ years, S-Oil experienced declining performance with PI as the system struggled to provide quick access to the large amounts of data now stored in the historian. At the same time, the need for data to improve decision making was increasing, significantly increasing future costs for the PI System. In dataPARC, S-Oil found a system that would provide all the functionality of its PI system, unlimited user licences, improved performance, and upgraded trending and analytics tools. All of this was achieved with a lower total cost of ownership. The biggest challenge S-Oil believed it faced was in converting and importing 20+ years of data, displays, and reports into dataPARC.
Additionally, it had numerous integrations with ancillary systems (LIMS, ERP, etc.) that it would need to re-establish with dataPARC as well. Migrating to dataPARC Fortunately, dataPARC is a proven solution for large-scale PI replacement efforts. S-Oil was able to complete data migration in three and a half months.
• 20+ Years of data migrated • 800+ ProcessBook Displays • 400 PI Active View Displays • 100+ PI DataLink Reports • 150,000 Tags
Re-establishing integrations It was essential that integrations with S-Oil’s critical data sources would survive the migration. dataPARC allowed S-Oil to easily establish those integrations. “We use a lot of long-term historical data for maintenance and in our day- to-day operations. Over time we began to experience problems with performance degradation with PI. It couldn’t access the long-term data fast enough” Phase II: Upgrading S-Oil’s analytical and operations management capabilities Post-migration, S-Oil was eager to begin to leverage dataPARC’s tools to optimise its processes and increase the efficiency of its operations. It moved forward with a number of initiatives supported by the capabilities of its new plant information management system. Improved performance and reduced cost Immediately, data access speed and reliability in trending long-term data sets were improved remarkably by leveraging dataPARC’s Performance Data Engine. Data queries that used to take several minutes were now being returned in seconds. In addition, S-Oil was able to greatly reduce operating expenses, thanks to dataPARC’s unlimited user licence model and reduced maintenance costs.
Contact: dp-info@dataparc.com
www.dataparc.com
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