About The Webinar
The fuel blending landscape is changing. For decades, online analyzers have played a central role in blend control — but what if we could remove them altogether?
In this webinar, we’ll explore how AI-powered models trained on historical lab and process data can replicate — and often outperform — online analyzers. We’ll take you through the journey from Proof of Concept (POC) to Proof of Value (POV) for analyzer-less blending systems that are smarter, more cost-effective, and operationally robust.
This concept is not a future vision — it’s a proven path forward.
What You Will Learn
- The difference between POC and POV in refinery innovation
- How can predictive models simulate analyzer outputs?
- Techniques for stabilizing tank and header biases over time
- How to validate POV using real data, backcasting, and RMSE metrics
- Deployment strategies for moving from lab simulations to live refinery trials
- Real-world illustrations of analyzer-less blending models in action
Target Audience
- Refinery Operations Managers & Blend Engineers
- Process Control & Automation Teams
- Digital Transformation Leaders
- Data Scientists and AI Practitioners in Oil & Gas
- Instrumentation & Analyzer Engineers
- Technology Consultants and Solution Providers
Why You Should Attend
- Save Capital & OPEX by minimizing or eliminating reliance on physical analyzers.