Training Introduction
The Refinery System Process Analysis & Testing Using Agent Based Simulation Training Course is designed to provide participants with an advanced understanding of refinery operations through the application of multi-method simulation techniques. Modern oil refineries are highly complex, integrating catalytic systems, high-pressure reactors, hundreds of pumps, compressors, furnaces, and thousands of control loops. Optimizing such intricate systems requires a holistic approach rather than focusing on individual units.
This course emphasizes using Discrete Event, Agent Based, and System Dynamics simulation methods to integrate all refinery components into a unified virtual model. Participants will learn how to replicate refinery systems in AnyLogic software, allowing them to evaluate system performance, test operational changes, and optimize processes in a virtual environment. Through hands-on exercises, case studies, and practical modeling, participants will gain the skills needed to enhance operational efficiency, reduce costs, and make informed decisions for refinery planning and management.
Key areas include refinery process fundamentals, multi-method simulation modeling, planning under uncertainty, and integration with the petrochemical supply chain. By the end of the course, participants will be able to simulate and analyze refinery operations as an interconnected system, optimizing both individual processes and overall plant performance.
Key Focus Areas of this Course:
- Overview of refinery processes including distillation, cracking, coking, and catalytic operations
- Basics of Discrete Event, System Dynamics, and Agent Based simulation modeling
- Using AnyLogic software for multi-method simulation and refinery process modeling
- Integration of refinery operations with planning and petrochemical supply chain processes
- Application of refinery fluid libraries, artificial neural networks, and regression-based planning
- Testing optimization strategies and operational changes in a virtual environment
- Analyzing refinery performance under deterministic and stochastic conditions
- Hands-on exercises for modeling, simulation, and system-level performance evaluation
