05/06/2026
Most efficiency monitoring in refining is reactive. The loss shows up in a fuel report, or someone runs a quarterly review, and by then it's already been compounding for months. The data to catch it earlier was there the whole time.
CDU fired heaters generate more than enough historian data to detect excess air drift, stack temperature creep, and COT instability while there's still time to act. The challenge is knowing where to look and what patterns to trust. On June 16, Pablo Sanchez is walking through a real CDU heater dataset to show exactly how that analysis works, from scatter plots and cross-correlations that surface root causes, to UCL/LCL control limits built from actual process statistics, to a monitoring dashboard you can apply on your own unit.
One session, real data, practical output. Register at the link if you manage fired heater performance.
https://bit.ly/49GeJd8
What does your current approach to fired heater efficiency monitoring look like?