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

Closed
21 Aug 2024
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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.
  • Nonlinear 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.

    • 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

    • Meet Our Speakers
    Dr. Suresh S.  Agrawal
    Dr. Suresh S.  Agrawal

    Founder and CEO,  Academy Director, Offsite Management Systems LLC

    LinkedIn Profile

    Dr. Agrawal graduated from the Indian Institute of Technology, Mumbai, India, with a Bachelor's degree in Chemical Engineering. He later obtained a Master’s and a Ph.D. in Chemical Engineering from the Illinois Institute of Technology, Chicago, USA.

    Dr. Agrawal has over 40 years of experience in senior technical and management roles with international companies. He has successfully led numerous advanced refinery process control projects across several countries. He is a registered Professional Engineer in the state of Illinois, USA, and a member of the American Institute of Chemical Engineers and the Instrumentation Society of America. Dr. Agrawal has published and presented more than 30 papers in international journals and conferences on advanced process control. He has also consulted for several refining and process industries worldwide and regularly conducts training seminars in his areas of expertise.

    Dr. Ariel Kigel
    Dr. Ariel Kigel

    Manager, R&D /, Modcon Systems, LTD

    LinkedIn Profile

    Dr. Kiget Holds Ph.D. in physical chemistry and MBA in business administration. He is manager, R&D and business development at UK based Modcon Systems Ltd. He lead market-oriented development and day-to-day operations of on-line process analytical systems for conventional industry. Leads definition and development of new applications into new industries, overseeing multi-national teams

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    Annymous     April 15, 2025

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