Refinery System
Process Analysis & Testing
using Agent Based Simulation

The Refinery Process Simulation Course is designed to provide a comprehensive understanding of complex oil refinery systems using multi-method simulation techniques. Modern refineries are highly intricate, incorporating advanced reactor designs, catalyst systems, sophisticated control hardware and software, and strict safety and environmental regulations. Optimizing such systems requires a holistic approach that considers the refinery as an integrated system rather than isolated components.

This Agent Based Simulation Training allows participants to explore how Discrete Event, Agent Based, and System Dynamics simulations can be combined to capture the full dynamics of a refinery. By modeling interactions between equipment, control loops, and operational processes, learners gain the ability to predict system outputs, optimize operations, and test scenarios virtually before implementing changes in the real world.

Participants will gain hands-on experience with AnyLogic software, enabling them to simulate refinery processes, understand relationships between measurements and reservoir properties, and apply advanced concepts like fluid dynamics and operator performance. This course empowers professionals to minimize operating costs while maximizing productivity through effective “molecule management” and system-wide optimization strategies.

By completing this Refinery System Process Simulation Course, participants will be able to:

• Understand the principles of refinery operations and process flows.
• Apply multi-method simulation techniques (Discrete Event, Agent Based, System Dynamics) to model complex refinery systems.
• Use AnyLogic software to create, run, and analyze refinery simulations.
• Integrate optimizing models into simulation frameworks for improved operational decision-making.
• Assess the impact of different feedstocks, product slates, and operational strategies on refinery performance.
• Test process changes and operational adjustments in a virtual environment before implementation.
• Enhance refinery efficiency and reduce costs through system-level analysis.

This Agent Based Simulation Training is ideal for professionals seeking to advance their skills in refinery operations, data-driven decision-making, and process simulation. The course is highly beneficial for:

• Process engineers involved in refinery operations
• Refinery schedulers and planners
• Data scientists and data analysts working in oil and gas
• Petroleum engineers managing refinery systems
• Refinery plant engineers overseeing complex system operations
• Professionals engaged in reservoir modeling and petroleum exploration

This course equips participants with the knowledge and practical skills to optimize refinery performance through simulation-based analysis.

The Refinery Process Simulation Course combines theoretical concepts, practical exercises, and guided simulations to ensure a thorough understanding of refinery systems. Participants will engage in interactive video lectures, hands-on modeling exercises, and real-world case studies.

Key learning methods include:

• Step-by-step demonstrations of multi-method simulation techniques
• Guided exercises using free Personal Learning Edition AnyLogic software
• Creation of models for refinery processes, product blending, and optimization
• Exploration of advanced AnyLogic features, including fluid libraries and operator performance integration

By the end of the course, participants will be able to create, test, and analyze complex refinery models, gaining the confidence to implement simulation-driven improvements in their workplace.

• AZTech Certificate of Completion for delegates who attend and complete the training course