A Highly Interactive Training Course On

Refinery System Process Analysis & Testing using Agent Based Simulation

Connecting the System in Virtual World to Optimize the Real World

Refinery System Process Analysis & Testing using Agent Based Simulation
Course Schedule

CLASSROOM

19-23 May 2025
Dubai
$5,950
28 Jul-01 Aug 2025
Dubai
$5,950
Certificate
  • Coventry Academy Certificate of Completion for delegates who attend and complete the training course

Training Overview

Training Overview

The oil refining process stands as one of today’s most intricate industrial processes, integrating catalyst systems, complex reactor designs, sophisticated computer hardware and software for control, and advanced safety and environmental protocols.

A typical medium-sized refinery is equipped with hundreds of pumps, heat exchangers, and drums, alongside dozens of furnaces, compressors, high temperature/high pressure reactors, and thousands of control loops managed by associated computer control technologies. Given this complexity, optimizing such systems through isolated, single-point or single-system approaches proves less effective. Instead, it's essential to view the refinery holistically, considering it as an integrated system rather than merely a collection of individual components. Here, multi-method simulation—comprising Discrete Event, Agent Based, and System Dynamics techniques—plays a pivotal role. These simulation methods enable the integration of all refinery systems into a unified model. This approach provides insights into both the overall system performance and the specific outputs of its components, ensuring a comprehensive understanding of how the refinery functions as a whole. This holistic view is critical for optimizing operations, improving efficiency, and making informed decisions that contribute to the refinery's overall effectiveness and competitiveness in the industry. This Refinery System Process Analysis and Testing Using Agent Based Simulation Training Course will enable you to understand the capabilities of anyLogic as multi-method simulation tool in oil refinery industries.

This Coventry Academy training course will cover:

  • Refinery process explanation
  • Basics of Discrete Event, Agent Based, and System Dynamics simulation
  • Establishing relationships between measurements and reservoir properties
  • Strategies for minimizing operating costs and maximizing hydrocarbon molecule upgrade efficiency (molecule management)
  • Hands-on practice in AnyLogic software for all three simulation methods
  • Advanced concepts including AnyLogic fluid library and operator performance integration

What are the goals?

By the end of this training course, participants will be able to:

  • Learn the concepts and methods of selecting feedstocks and product slates
  • Understand the capabilities of AnyLogic 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

Who is this Training Course for?

This Coventry Academy training course is designed for all professionals working in the field of data analysis, oil and gas exploration, geology and reservoir modelling and will greatly benefit:

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

How will this Training Course be Presented?

This Coventry Academy training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes presentation of theoretical concepts, video lectures and many exercises that will be done through the guided work of the delegates themselves. The delegates will use free Personal Learning Edition AnyLogic software to create models and define and select statistics.

The Course Content

Day One: 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
Day Two: Multi-method Simulation
  • Discrete Event Simulation Modeling
  • System Dynamics Simulation Modeling
  • Agent Based Simulation Modeling
  • Introduction to AnyLogic software
  • Exercise: First model development in AnyLogic software
  • Multi-method modeling and its application to refinery process
  • Exercise: Multi-model creation in AnyLogic
Day Three: 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 AnyLogic
Day Four: 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 AnyLogic
Day Five: 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