A Highly Interactive Training Course On

Field Production Optimization using Agent Based Simulation

Risk Free Analysis of Proposed Improvements

Field Production Optimization using Agent Based Simulation
Course Schedule

CLASSROOM

12-16 May 2025
Istanbul
$5,950
13-17 Oct 2025
Dubai
$5,950
19-23 Jan 2026
Dubai
$5,950
Certificate
  • Coventry Academy Certificate of Completion for delegates who attend and complete the training course

Training Overview

Training Overview

As the complexities of real-life systems increase, so too must our understanding of them. The oil and gas industry faces numerous challenges in exploration, production, and transportation that require optimization to enhance productivity and efficiency. Continuous innovation and the adoption of new technologies are essential for staying competitive, yet implementing these changes can disrupt existing projects and lead to delays.

To mitigate these disruptions, Agent-Based Simulation modeling offers a powerful solution, enabling companies to analyze, optimize, and experiment within a risk-free environment. This approach allows for thorough examination of processes without interrupting production, helping identify and address potential problems before real-life implementation.The Field Production Optimization Using Agent Based Simulation Training Course offered by Coventry Academy focuses on leveraging Agent Based Simulation (ABS) modeling to address the complexities and challenges within the oil and gas exploration, production, and transportation industries.

This training course will cover:

  • Forecasting well production
  • Production decline analysis
  • Optimization techniques, including Linear and Non-Linear Programming
  • Agent-based, system dynamics, and discrete event modeling
  • Utilizing AnyLogic simulation software for process analysis and optimization
  • Implementing optimal parameter values in production systems
  • Harnessing data acquisition and process simulation for effective production planning.

What are the goals?

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

  • Learn the optimization techniques and tools
  • Understand the differences between Agent-based, system dynamic, and discrete event modeling
  • Acquire the knowledge how to use AnyLogic software
  • Realize the potential of multi-method simulation approach
  • Understand how to simulate complete oil and gas field

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, extraction, project management in oil and gas, field development and petroleum engineering. It will greatly benefit:

  • Petroleum engineers
  • Data Scientists
  • Project managers
  • Senior and Middle Managers
  • Optimization professionals
  • FEED 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 be able to use Personal Learning Edition of AnyLogic software and built the models themselves.

The Course Content

Day One: Petroleum Production Engineering Fundamentals
  • Petroleum Production System
  • Properties of oil and gas
  • Reservoir deliverability
  • Wellbore performance
  • Exercise: Forecast of well production 
  • Exercise: Production decline analysis
Day Two: Optimization Techniques
  • Linear Programming
  • Non-linear programing
  • Mixed-Integer Linear (MILP)
  • Optimizing Controllable Rig Time Loss
  • Introduction to simulation
  • Introduction to AnyLogic software
  • Exercise: Using AnyLogic software
Day Three: Simulation Techniques and Process Modelling
  • Discrete event modelling
  • System dynamics modelling
  • Agent-based models
  • Multi-method modelling (combining all three methods in one simulation)
  • Exercise: Creating a simple process in AnyLogic
  • Exercise: Creating an agent-based model in AnyLogic
Day Four: Oilfield Process Modelling
  • Defining the process of oil production
  • Data gathering
  • Determination of data distributions
  • Output data
  • Introduction to AnyLogic fluid library
  • Exercise: Creating a simulation model with AnyLogic fluid library
Day Five: Model Analysis and Optimization
  • Scenario analysis
  • Output data measurement and comparison
  • GIS connectivity
  • Exercise: Review of the developed oil supply chain
  • Exercise: Incorporating the worker performance into the models
  • Steps to apply multi-method simulation in FEED engineering