Webinar-15 Octane Blending Concept, Models, Prediction and Measurement

🟧 ABOUT THE WEBINAR

This webinar delves into the multifaceted world of octane blending, a crucial aspect of modern fuel production that ensures the efficiency and performance of gasoline. Participants will gain a comprehensive understanding of the foundational concepts, advanced models, precise measurement techniques, and predictive methodologies involved in octane blending. The session is designed to cater to chemical, oil, and gas professionals, including process engineers, refinery operators, quality control specialists, and researchers.

🟦 WHAT WILL YOU LEARN?

1. Core Concepts of Octane Blending
• Octane Blending Basics: Understand how hydrocarbon streams are combined to achieve desired octane ratings, crucial for engine performance.
• Octane Ratings: Learn about Research Octane Number (RON), Motor Octane Number (MON), and Anti-Knock Index (AKI).

2. Advanced Blending Models
• Linear and Non-Linear Programming: Explore models used to optimize blends for cost and performance.
• AI and ML Applications: Discover how AI and machine learning enhance blending accuracy and efficiency.

3. Measurement Techniques
• Laboratory and Real-Time Methods: Learn standard and modern methods for accurate octane measurement.
• Addressing Challenges: Identify common measurement issues and solutions.

4. Predictive Methodologies
• Empirical and Simulation Tools: Use data-driven tools for accurate octane predictions.
• AI/ML Predictions: Leverage AI for forecasting octane levels and integrating with control systems.

5. Practical Applications
• Best Practices: Apply insights to improve blending processes in real-world settings.
• Q&A with Experts: Engage with industry leaders to address specific questions.


🟪 WHY YOU SHOULD ATTEND?

🗹 Gain Insight into Foundational Concepts: Explore the history and chemistry of octane ratings, including the role of iso-octane and n-heptane as reference fuels.

🗹 Understand Various Octane Ratings: Learn about Research Octane Number (RON), Motor Octane Number (MON), and Anti-Knock Index (AKI), along with their respective testing methods.

🗹 Discover Advanced Modeling Techniques: Dive into Linear Programming (LP), Non-Linear Programming (NLP), and cutting-edge AI/ML models used for optimizing octane blending.

🗹 Learn Accurate Measurement Techniques: Understand standard laboratory methods, in-process measurements, and the challenges faced in ensuring measurement reliability and precision.

🗹 Explore Predictive Methodologies: Examine empirical methods, simulation tools, AI/ML-based predictions, and integration with process control systems for operational efficiency.

🟩 TARGET AUDIENCE

→ Refinery Managers:
• Enhance operational efficiency.
• Reduce costs associated with traditional analyzers.
• Improve product quality consistency.

→ Process Engineers:
• Gain insights into advanced optimization techniques.
• Implement AI/ML systems for real-time process adjustments.
• Leverage data-driven predictions for better process control.

→ Strategic Planners:
• Adapt to evolving market conditions.
• Drive innovation in fuel blending operations.
• Ensure compliance with industry regulations.

→ IT and Data Professionals:
• Understand data integration and feature engineering.
• Learn about training and deploying ML models.
• Manage real-time monitoring systems and feedback loops.

🟨 ABOUT OMS E-LEARNING ACADEMY

• It provides a portal for the continuing education of refinery and related business professionals.
• Professionals can make their curriculum from 200+ topics or enroll in 200+ structured courses.
• Progressive eLearning mode course can be taken anytime, anywhere, and on any device.
• Issues course completion certificate and transcript with Continuing Education (CE) credits
• Offers Flexible plans and subscriptions for both individual and enterprises

• View Academy Catalog of Topics: https://bit.ly/3cJ1YnM.

• Zoom Link: https://us02web.zoom.us/j/89068739573...

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