Real-time Hydrocarbon Blending Optimization Using Virtual Analyzers

SPEAKERS

Misha Askerka Director Of Analytics, Validere

ABOUT THE SESSION

Misha Askerka, Director of Analytics at Validere, brings a rich academic foundation in computational physical chemistry and machine learning, combined with hands-on experience in building data teams and products for energy tech startups. With a passion for applying “new science” through software innovation, he has focused on advancing clean energy solutions and methane mitigation strategies. He is all set to share his views on real-time hydrocarbon blending optimization using virtual analyzers, showcasing how data-driven technologies can enhance operational precision, reduce emissions, and support smarter, more sustainable decision-making across the oil and gas value chain.

He will share his views on the common challenges faced by midstream crude oil facilities, particularly the lack of visibility into product quality, which often results in overly conservative or risky blending strategies. He will explain how digital twin solutions can address this gap by accurately predicting unknown product quality properties and optimizing operations in real time. By adopting a probabilistic approach to optimization, companies can make more informed, data-driven decisions that balance performance and risk. He will also highlight how implementing these digital twin controls enables midstream operators to blend closer to targets, increase terminal profits, and minimize shut-in risks by accounting for measurement uncertainty.

Key Topics-

1. Midstream crude oil facilities often lack information on their product quality, which leads to either overly conservative/unoptimized or risky blending programs.
 

2. One way companies can address this is with digital twin type solutions that can accurately predict unknown product quality properties and automatically optimize operations in real-time.
 

3. Once midstream companies implement these digital twin controls, they can increase blending terminal profits by blending closer to the targets while reducing the shut-in risk by carefully accounting for measurement uncertainty.

For more on this conference or to access the session, reach out to us at [email protected]. 

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