Statistica
42 Case Studies
A Statistica Case Study
A global energy infrastructure leader operating North American natural gas processing plants needed to eliminate shift‑to‑shift variability in CO2 removal and optimize bypass/treatment rates to lower costs and meet contractual obligations. Their process relied on manual data harvesting and spreadsheets, which made it difficult to identify the controllable variables that drove peak performance.
By deploying Statistica with a direct link to the company’s OSIsoft PI System, they automated data mining and predictive modeling (including GC&RT and MARSplines) to identify optimal set points and deliver color‑coded, real‑time guidance to operators. This produced faster, more consistent peak performance, streamlined monitoring, reduced costs, processing time and risk, improved contract compliance, and greater capacity to handle large volumes of operational data—boosting operational efficiency and the bottom line.
Global Energy Company
Global Energy Company
Benchmarking Engineer