Monday, October 19, 2020, started out as a typical Monday covering industrial automation technology news—until just before noon eastern time. Then, within a period of two minutes, I received two significant news items, one from Siemens and one from Aveva, related to partnerships aimed at advancing asset performance management (APM) technology for the oil and gas industry.
The first news item to arrive came from Aveva, announcing its development of a Digital Reliability Platform (DRP) in partnership with SCG Chemicals Business (a petrochemical company based in Thailand). This DRP, according to Aveva, is “a complete APM solution to predict equipment health, monitor performance, and enable advanced maintenance across its operations to eliminate unplanned downtime.”
Aveva’s partnership with SCG was developed as part of SCG’s digital transformation plan to “become a data-driven organization to advance its position as a leader in the petrochemical industry” and to help Aveva deliver DRP technologies to market.
According to Ravi Gopinath, chief cloud officer and chief product officer at Aveva, the “DRP solution integrates online and offline equipment data to visualize plant performance, enhance workforce efficiency, and apply artificial intelligence (AI) for predictive maintenance and resolution…to monitor critical assets and predict failure towards achieving a goal of zero unplanned shutdowns.”
Read more about Aveva’s application of AI in APM.
The APM news from Siemens centered on the partnership between Siemens and Bentley Systems to deliver a new service for oil and gas industry companies known as Asset Performance Management for Oil & Gas, or APM4O&G.
Laura Anderson, head of Siemens Energy Services control and digitalization business, said "APM4O&G adopts smart, condition-based strategies based on predictive analytics to optimize maintenance schedules in compressor stations and gas processing plants, helping extend asset life and keeping maintenance costs down. Offshore, the solution helps operators reduce logistics costs associated with unmanned maintenance activities. Operators can also make the best use of limited laydown and storage areas offshore by holding just the right spare stock based on risk-based maintenance strategies. In addition to monitoring assets, the APM4O&G solution can run diagnostics and risk analysis scenarios that further optimize plant uptime, including failure mode effect analysis, operational health index of equipment, and a remaining useful life estimate for an individual component or a whole system."
