14-AI Machine Learning System Architecture for analyzer-less Fuel Blending

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

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.

Concepts of Octane Blending:

Octane blending is the process of combining different hydrocarbon streams to achieve a desired octane rating in gasoline. The octane rating measures a fuel's ability to resist knocking during combustion, which is critical for engine performance and longevity. This section will cover:

Historical Background: An overview of octane rating development and its significance in the automotive and fuel industries.
Chemical Basis: Understanding the chemistry behind octane numbers, including the role of iso-octane and n-heptane as reference fuels.
Types of Octane Ratings: Exploration of Research Octane Number (RON), Motor Octane Number (MON), and Anti-Knock Index (AKI) and their respective testing methods.

Models for Octane Blending:

Developing accurate models is essential for optimizing the octane blending process. This section will discuss various modeling approaches and their practical applications in the industry:

Linear Programming (LP) Models: Introduction to LP models for blend optimization, focusing on how refineries use these models to minimize costs while meeting octane requirements.
Non-Linear Programming (NLP) Models: Examining the complexities of NLP models and their advantages in handling non-linear relationships in blending components.
Artificial Intelligence (AI) and Machine Learning (ML) Models: Cutting-edge AI/ML techniques that enhance prediction accuracy and adaptability in octane blending processes.
Case Studies: Real-world examples of successful implementation of these models in refineries, showcasing efficiency and product quality improvements.

Measurement Techniques:

Accurate measurement of octane ratings is paramount for quality control and regulatory compliance. This section will cover:

Laboratory Methods: Detailed overview of standard laboratory methods such as the CFR engine test for determining RON and MON.
In-Process Measurement: Modern techniques for real-time octane measurement, including NIR (Near-Infrared) spectroscopy and online analyzers.
Challenges in Measurement: Common issues and challenges faced during octane measurement and strategies to overcome them to ensure reliability and precision.

Predictive Methodologies:

Predicting the octane number of blended fuels is crucial for planning and operational efficiency. This section will explore:

Empirical Methods: Traditional empirical formulas and their application in prediction, including the blending octane number concept.
Simulation Tools: Utilization of advanced simulation tools and software that integrate various data points to predict octane levels accurately.
AI/ML-Based Predictions: Leveraging AI/ML algorithms for predictive analytics, enhancing the ability to forecast octane ratings based on historical and real-time data.
Integration with Process Control Systems: How predictive models can be integrated with existing process control systems to automate and optimize the blending process.

Conclusion:

The webinar will conclude with a Q&A session, allowing participants to engage with experts and address specific queries related to octane blending. Attendees will leave with a thorough understanding of the entire octane blending process, from foundational concepts to advanced predictive methodologies, equipping them with the knowledge to implement and optimize these processes in their respective fields.

Who Should Attend:

Process Engineers
Refinery Operators
Quality Control Specialists
Researchers and Academicians
Industry Professionals involved in Fuel Production and Distribution

Key Takeaways:

Comprehensive understanding of octane blending concepts and their significance.
Insight into various modeling techniques and their practical applications in the industry.
Knowledge of accurate and reliable octane measurement methods.
Exposure to advanced predictive methodologies and their integration with process control systems.
Real-world case studies demonstrating successful implementation and optimization of octane blending processes.

Speaker

The first webinar speaker, Dr. Suresh S. Agrawal, is the founder and CEO of Offsite Management Systems LLC (OMS) and the academy director of OMS eLearning Academy.

He graduated from the Indian Institute of Technology, Mumbai, India, with a Bachelor of Chemical Engineering. He then obtained a Master's and PH.D. Degrees in Chemical Engineering from Illinois Institute of Technology, Chicago, USA.

Dr. Agrawal has 40+ years of experience in senior technical / management positions with international companies and has successfully managed many advanced refinery process control projects in numerous countries. Dr. Agrawal is a registered professional engineer in Illinois, USA, and a member of the American Institute of Chemical Engineers and Instrumentation Society of America. He has published and presented 30+ papers in international publications and conferences in advanced process control. He has consulted several refining and process industries worldwide and delivered training seminars in his expertise.

The second webinar speaker, Dr. Ariel Kigel, is the R&D Manager at UK-based mod-con-systems, Inc. He holds a Ph.D. in physical chemistry and an MBA in business administration.

Dr. Kingel Leads market-oriented development and day-to-day operations of online process analytical systems for conventional industries.

He leads the definition and development of new applications into new industries, overseeing multi-national teams.

Registration Details:

Date: August 21, 2024
Time: 11 AM CDT
Duration: 60 minutes
Platform: Zoom
Registration Link: [Insert Link]

This webinar is an excellent opportunity for industry professionals to enhance their understanding of octane blending, stay updated with the latest advancements, and implement best practices in their operations. Don't miss out on this chance to learn from experts and network with peers in the field. Register now to secure your spot!

About OMS eLearning Academy

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

Click to see the academy catalog of topics https://bit.ly/3cJ1YnM

Hashtags

“octane-blending #knowengine #fuelblending #AI-ML hybrid models

Event Link

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Zoom Link

https://us02web.zoom.us/j/86077740256?pwd=q8XvVU1VM1gGhd07r7aKlguB6FAufZ.1

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Details Link

https://cdn.oms-eLearning-academy.com/wp-content/Webinars/Details/PDF/OEA15W.pdf

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