Optimizing Crude-to-Chemicals Pathways: Integrating AI with Linear Programming Models

About the Session

Parveen Kalia, Fluor Fellow and Senior Process Specialist at Fluor India, brings over 20 years of experience in refinery and petrochemical master planning. His expertise spans Linear Programming, refinery-petrochemical integration, conceptual process design, economic evaluation, Aspen PIMS™ modelling, and investment analysis, supporting major refining and petrochemical projects across Asia and the Middle East.

In his session, “Optimizing Crude-to-Chemicals Pathways: Integrating AI with Linear Programming Models,” Parveen explores how AI can enhance Linear Programming models to optimize crude conversion pathways and improve refining and petrochemical economics. The session examines AI-driven forecasting and scenario analysis for feedstock selection, operational flexibility, and investment decisions, while addressing how Crude-to-Chemicals integration can maximize value and profitability in a dynamic market environment.

Key Topics

01 Crude-to-Chemicals integration in refining and petrochemical operations

02 Optimizing crude conversion pathways for value and profitability

03 Enhancing Linear Programming with AI-driven forecasting

04 AI-enabled scenario analysis and feedstock selection

05 Improving operational flexibility and investment decisions For more on this conference or to access the session, reach out to us at info@ptnevents.com.

For more on this conference or to access the session, reach out to us at info@ptnevents.com.