The Refinery System Process Analysis & Testing using Agent Based Simulation training course develops a comprehensive understanding of complex oil refinery systems through multi-method simulation. Modern refineries integrate advanced reactor designs, catalyst systems, sophisticated control hardware and software, and stringent safety and environmental regulations. Effective optimisation therefore requires a holistic approach that treats the refinery as an integrated system rather than a collection of isolated components. Participants explore how Discrete Event, Agent Based, and System Dynamics simulations combine to represent the full dynamics of refinery operations.
Practical work with AnyLogic software enables participants to simulate refinery processes and examine interactions between equipment, control loops, and operational processes. They learn to predict system outputs, optimise operations, and test scenarios virtually before introducing changes within real-world environments. The course also addresses relationships between measurements and reservoir properties, alongside advanced concepts such as fluid dynamics and operator performance. These capabilities support lower operating costs and greater productivity through effective “molecule management” and system-wide optimisation strategies.
This Refinery System Process Analysis & Testing using Agent Based Simulation training course will highlight:
- Applying multi-method simulation to complex refinery systems
- Combining Discrete Event, Agent Based, and System Dynamics approaches
- Modelling equipment, control loops, and operational process interactions
- Using AnyLogic to predict outputs, optimise operations, and test scenarios
- Examining measurements, reservoir properties, fluid dynamics, and operator performance
- Supporting molecule management, cost reduction, and system-wide productivity