Case Study: Global Energy Company achieves lower costs and improved plant performance with TIBCO Data Science (TIBCO Software)

Global Energy Company Fuels Efficiencies with TIBCO Data Science Software

A large midwestern energy production company in the oil & gas sector faced a twin challenge of maintaining safety and environmental stewardship while driving operational efficiencies: minimizing gas processing costs and maximizing output. Variability in plant performance — different control settings and operator decisions across shifts — made it hard to identify and replicate peak performance periods and optimal set points.

The company selected TIBCO Data Science for its intuitive UI, reusable templates, and seamless connectivity to the OSIsoft PI System, enabling direct import of real-time data. By automating data mining and predictive modeling (using techniques like GC&RT and MARSplines) and delivering color-coded real-time displays to operators, the solution provided immediate feedback to optimize control settings, reduce processing costs, and increase throughput and revenue while scaling to handle growing volumes of data.