Real-Time Quality Control: How HPCL Uses Industrial AI to Improve Refining Processes
HPCL’s Mumbai Refinery faced a major issue with product quality giveaways, as assessing product quality was both challenging and time-consuming.
The refining team used Aspen AI Model Builder™ and Aspen HYSYS® to build and deploy AI-based soft sensors that could predict the desired product quality parameters in real-time enabling HPCL to:
- Minimize quality giveaways and maximize yield, saving an estimated $100,000–$400,000 USD per year
- Reduce the need for frequent sampling and reliance on lab analysis, cutting associated costs by around 15–20%
- Gain real-time visibility to product stream quality
Learn how you can reduce operational expenditure while maintaining product quality. Download this case study to discover the benefits of Industrial AI solutions.
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