Fuel blending is a vital process in the downstream refining industry, as 80-85% of end-user refinery products are made by blending processes in offsite operations. Refineries lose 25 to 40 Million dollars annually due to inefficient and non-optimized blend recipes and poor blend quality control.
Refineries employ planning and real-time control systems to improve the marginality of the blending process. These systems are supposed to keep the blend qualities on spec while minimizing the quality giveaways and utilizing the available components to produce the desired quantity of the end product at the lowest cost. Both planning and control systems rely on the blend models.
These models predict the blend's properties based on the blended components' properties and their ratios in the blend. Two methods are adopted to model the blend.
The first predominant method uses the first principles of mathematical equations to model the blending process. This method requires initial customization of model parameters and continuously updating biases to correct the quality predictions online or offline by an experienced blend control engineer and must use historical data. Invariably, if not exercised diligently, this method results in a loss of tangible benefits for the refinery and blend quality error control.
What Will You Learn?
Discuss the process of blending technology using the first principles of Blend Models (FPBM)
Enlist the uncertain source of errors in the blend quality prediction after the first principles
Discuss the Role of AI in improving upon the FPMB by machine learning to minimize errors due to uncertain sources of errors
Integration of hybrid model FPBM and AI to improve the blend quality prediction
Who Should Attend?
Blending Engineers
Process Control engineers
Operations Managers
Refinery Planners
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Meet Our Speakers
Dr. Suresh S. Agrawal
Founder and CEO, Academy Director, Offsite Management Systems LLC
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.
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