Course Finder In-House Training About Us
An Intensive Professional
Development Training Course on

Refinery System Process Analysis & Testing using Agent Based Simulation

Developing virtual refinery models to analyse, test and optimise real-world system performance

Course Options

How would you like to proceed?

Need a tailored solution or group booking discount? Contact our course advisors.

Why Choose This Course

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
Why Choose Refinery System Process Analysis & Testing using Agent Based Simulation
Course Goals

What are the Goals?

Upon completion of this Refinery System Process Simulation Course, participants will be able to:

  • Comprehend the fundamentals of refinery operations and process flows.
  • Use multi-method simulation approaches (Discrete Event, Agent Based, System Dynamics) to model complex refinery systems.
  • Utilize AnyLogic software to develop, execute, and evaluate refinery simulations.
  • Incorporate optimizing models within simulation frameworks to improve operational decision-making.
  • Evaluate how different feedstocks, product slates, and operational strategies affect refinery performance.
  • Examine process changes and operational adjustments in a virtual environment prior to implementation.
  • Improve refinery efficiency and lower costs through system-level analysis.

Who is this Training Course for?

This Refinery System Process Analysis & Testing using Agent Based Simulation training course is designed for:

  • Refinery Process Engineers
  • Process Simulation Engineers
  • Refinery Systems Analysts
  • Process Modelling Specialists
  • Refinery Operations Engineers
  • Process Control Engineers
  • Optimisation Engineers
  • Simulation and Modelling Consultants
  • Refinery Planning Engineers
  • Process Testing and Validation Specialists
Learning Approach

How will this Training Course be Presented?

The Refinery Process Simulation Course integrates theoretical principles, practical activities, and instructor-led simulations to provide a comprehensive understanding of refinery systems. Participants will take part in interactive video lectures, applied modeling activities, and case studies drawn from real-world scenarios.

Core learning approaches include:

  • Detailed, sequential demonstrations of multi-method simulation techniques
  • Supported exercises conducted with the free Personal Learning Edition of AnyLogic software
  • Development of models covering refinery processes, product blending, and optimization
  • Examination of advanced AnyLogic capabilities, including fluid libraries and operator performance integration

Upon completing the course, participants will be able to develop, test, and evaluate complex refinery models, building the confidence needed to apply simulation-led improvements within their workplace.

The Course Summary & Outline

  1. Day 1
    Refinery Process
  2. Day 2
    Multi-method Simulation
  3. Day 3
    Petroleum Refinery Planning
  4. Day 4
    Planning Under Uncertainty for a Single Refinery
  5. Day 5
    Integration with Petrochemical Supply Chain
Recognition

Certificate

Delegates who successfully complete the Refinery System Process Analysis & Testing using Agent Based Simulation training course are awarded the Wallstreet Academy Certificate of Completion, recognising their achievement and commitment to professional development. Participants receive 25–30 credits, with the final allocation based on their verified attendance throughout the course.

Each Guided Learning Hour represents 60 minutes of attendance. Attendance is documented in line with the quality management principles of ISO 9001:2015, supporting accurate and consistent record-keeping.

Frequently Asked Questions

This course focuses on analysing and testing refinery system processes using agent-based simulation. It connects a refinery system represented in a virtual environment with efforts to optimise the real-world system. The central theme is using simulation to examine how the connected system operates before applying insights in practice.

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. Key topics include Refinery Process, Multi-method Simulation, Petroleum Refinery Planning and Planning Under Uncertainty for a Single Refinery.

The Refinery System Process Analysis & Testing using Agent Based Simulation training course begins by examining refinery systems, their principal processes and the relationships between operational components. The programme covers Refinery Process, Multi-method Simulation, Petroleum Refinery Planning, Planning Under Uncertainty for a Single Refinery and Integration with Petrochemical Supply Chain.

Key outcomes of this course include: incorporate optimizing models within simulation frameworks to improve operational decision-making; evaluate how different feedstocks, product slates, and operational strategies affect refinery performance; examine process changes and operational adjustments in a virtual environment prior to implementation. Effective optimisation therefore requires a holistic approach that treats the refinery as an integrated system rather than a collection of isolated components.

Key outcomes of this course include: comprehend the fundamentals of refinery operations and process flows; use multi-method simulation approaches (Discrete Event, Agent Based, System Dynamics) to model complex refinery systems; utilize AnyLogic software to develop, execute, and evaluate refinery simulations. 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. Key topics include Integration with Petrochemical Supply Chain.

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. Key topics include Refinery Process, Multi-method Simulation, Petroleum Refinery Planning and Planning Under Uncertainty for a Single Refinery.

This course is designed for Refinery Process Engineers, Process Simulation Engineers, Refinery Systems Analysts, Process Modelling Specialists, Refinery Operations Engineers and Process Control Engineers. Modern refineries integrate advanced reactor designs, catalyst systems, sophisticated control hardware and software, and stringent safety and environmental regulations.