Presenting Machine Learning Insights
We’re attending ERTC 2024 in Lisbon, Portugal, from 11–14 November. Please stop by Stand No. 57 for information on solutions to optimise refining performance.
Our presentation, titled Detecting Deviations in Refining Units through Machine Learning, will explore the role of artificial intelligence (AI) in improving the operational efficiency of refining units. We’ll demonstrate how unsupervised machine learning can be used to detect deviations in refining processes, enabling proactive maintenance and reducing the need for extensive manual data labelling typically required in supervised methods.
With a focus on high-quality data, industry-specific expertise, and seamless integration into existing systems, our approach is designed to automatically inform users and improve operational reliability. Join us to learn more about how machine learning insights in refining processes and discuss the potential of AI-driven solutions for the industry.
Key Takeaways
- Unsupervised Learning for Deviation Detection: Leveraging unsupervised machine learning to identify deviations in refining processes, enabling automated reporting and proactive maintenance.
- Precise Problem Understanding: AI solutions succeed when they are tailored to address specific challenges within refining operations, ensuring relevance and effectiveness.
- Data Quality and Domain Expertise: High-quality historical data and specialized knowledge are critical for building successful ML models and deriving actionable AI-driven insights.
We look forward to connecting with industry leaders and discussing new opportunities in refining technology and digital innovation.
