When an oil company needed to figure out the flow rate from a well, it used TrendMiner monitoring to keep the wells operational and prevent sudden shutdowns.
Using TrendMiner features, chemical engineers can forecast the normally unpredictable useful life of a catalyst bed for more accurate production scheduling.
Ending with real world examples from both the upstream and downstream sectors, we will take you on a journey that breaks down buzzwords and will demonstrate practical, easy-to-use approaches that you can employ on a daily basis.
Discover how TrendMiner helped prevent an automatic process shutdown, improving overall equipment effectiveness, reducing costs & risk.
This use case shows how TrendMiner enabled predictive maintenance to control fouling, reduce costs and reduce risks with self-service industrial analytics.
Customer Success Presentation: Sitech`s Industrial Analytics Journey
Conference Presentations, Customer Success Story, Past event webinar, Videos Video CDO (Chief Digital Officer), Plant Manager, Process Engineer Intermediate Employee Efficiency, General, Operational Performance, Predictive Maintenance Chemical Success StoriesIn this webinar, Marc Pijpers of Sitech shares 3 real-life use cases that show how Sitech used (predictive) industrial analytics to contextualize asset performance with process data.
Quick Links
Blog Posts
- Low-code and No-code AI & Analytics Solutions Yield High-Value Use Industrial Use Cases13 September 2024 - 15:19
- Building a Foundation for AI & Analytics with an Industrial Data Fabric30 August 2024 - 23:12
- TrendMiner’s 2024.R2 Release; A Complete Platform to Facilitate Event Analytics and Operationalize Industrial Data8 August 2024 - 16:38