Course objective

• Learn the concepts and methods of selecting feed stocks and product slates
• Understand the capabilities of Any Logic as multi-method simulation tool
• Acquire the knowledge to consider the refinery as a system, not a sum off its parts
• Incorporate optimizing models into a simulation package
• Create and run simulations of complex systems
• Harness the possibilities of testing change options in virtual environment

Course outline

 Refinery Process

• Basics of Petroleum refining industry
• Refinery Configuration
• Distillation Processes
• Coking and Thermal Processes
• Catalytic Processes
• Cracking Processes
• Alteration Processes
• Treatment Processes
• Product Blending
• Mathematical Programming in Refining

Multi-method Simulation

• Discrete Event Simulation Modeling
• System Dynamics Simulation Modeling
• Agent Based Simulation Modeling
• Introduction to Any Logic software
• Exercise: First model development in Any Logic software
• Multi-method modeling and its application to refinery process
• Exercise: Multi-model creation in Any Logic

Petroleum Refinery Planning

• Characterization, Physical and Thermodynamic Properties of Oil Fractions
• Crude Assay
• Bulk properties
• Fraction properties
• Regression-Based Planning
• Artificial-Neural-Network-Based Modeling
• Exercise: using fluid library in Any Logic

Planning Under Uncertainty for a Single Refinery

• Deterministic Model Formulation
• Stochastic Model Formulation
• Sampling Methodology
• Objective Function Evaluation
• Variance Calculation
• Demand Uncertainty
• Process Yield Uncertainty
• Variation Coefficient
• Exercise: Refinery plant model creation in Any Logic

 Integration with Petrochemical Supply Chain

• Refinery and Petrochemical Synergy Benefits
• Delivery of crude oil to refinery
• Exercise: Connecting the delivery process with refinery process
• Exercise: Calculating outputs and statistics
• Exercise: Optimization results of the system as a whole
• Areas of application for multi-method-based simulation

Who should attend?

• Process engineers
• Refinery schedulers
• Planners and managers
• Data Scientists
• Data Analysts
• Petroleum engineers
• Refinery Plant Engineers