Course Schedules

Classroom 5 Sessions
Online / Live
Live

No dates scheduled

Training Course Overview

Field Production Optimization using Agent Based Simulation Training Course focuses on improving oil and gas field performance through advanced simulation, optimization, and data-driven decision-making. In a complex production environment, understanding system behavior and testing operational changes before implementation is essential for efficiency and risk reduction.

This training course introduces agent-based simulation, system dynamics, and discrete event modeling to analyze and optimize oil and gas production systems. Participants will explore how digital modeling tools can replicate real field operations, enabling safe experimentation and performance improvement without disrupting live production.

With a strong focus on practical application, the course demonstrates how optimization techniques and simulation software such as AnyLogic can be used to forecast production, analyze decline trends, and improve operational decision-making. It empowers professionals to evaluate scenarios, reduce operational risks, and enhance overall field productivity using advanced modeling approaches.

Training Course Objectives

Field Production Optimization Training Course objectives are designed to build strong analytical and simulation skills for improving oil and gas production systems using advanced optimization techniques and modeling tools. This course enhances the ability to make data-driven operational decisions.

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

  • Understand optimization techniques including linear programming, non-linear programming, and MILP models
  • Apply agent-based, system dynamics, and discrete event modeling approaches for production analysis
  • Use AnyLogic software to build and analyze simulation models for oil and gas systems
  • Understand how to simulate complete oil and gas field operations using multi-method simulation
  • Analyze production forecasting and decline trends for better field performance planning

Designed for

Field Production Optimization using Agent Based Simulation Training Course is designed for professionals involved in oil and gas production planning, optimization, and field development. It supports individuals working with complex production systems and data-driven decision-making processes.

This training course is suitable for:

  • Petroleum engineers involved in production optimization and field development
  • Data scientists working with oil and gas operational datasets
  • Project managers responsible for production planning and execution
  • Senior and middle managers involved in operational decision-making
  • Optimization specialists and process improvement professionals
  • FEED engineers working on early-stage field development and design

Learning Methods

Field Production Optimization Training Course learning methods are designed to combine theoretical knowledge with hands-on simulation experience using advanced modeling tools. The course ensures participants gain practical skills in system analysis and optimization.

Participants will engage in instructor-led sessions covering production systems, optimization techniques, and simulation methodologies. Video lectures and guided explanations will support understanding of agent-based, system dynamics, and discrete event modeling concepts.

Practical exercises will be conducted using AnyLogic software, allowing participants to build and test simulation models for oil and gas production systems. Step-by-step activities will include forecasting, decline analysis, and process modeling using real-world scenarios.

Advanced learning tasks will focus on multi-method simulation, scenario analysis, and production optimization strategies. This interactive approach ensures participants can confidently apply simulation techniques to improve oil and gas field performance while minimizing operational risks.

.

Course Content

Day 1

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 2

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 3

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 4

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 5

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

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
FREQUENTLY ASKED QUESTIONS

Learn more about this course

Yes. The Field Production Optimization using Agent Based Simulation training course can be customised and delivered exclusively for organisations seeking a tailored learning solution. Course content can be adapted to address specific business objectives, operational challenges, industry requirements, and organisational priorities. Customised training allows teams to focus on the topics most relevant to their roles while supporting wider organisational development goals.

No. The Field Production Optimization using Agent Based Simulation training course is open to professionals from a wide range of backgrounds and experience levels. The course content is structured to provide value to both those who are new to the subject and experienced practitioners seeking to deepen their expertise. While some prior knowledge may enhance understanding of certain concepts, it is not a requirement for participation

The Field Production Optimization using Agent Based Simulation training course uses a variety of learning approaches to maximise participant engagement and knowledge retention. These may include expert-led presentations, practical exercises, case studies, group discussions, scenario-based activities, and collaborative learning opportunities. This approach encourages active participation and helps participants translate learning into practical workplace results.

The Field Production Optimization using Agent Based Simulation training course is suitable for professionals who want to expand their knowledge, strengthen their practical skills, and improve their effectiveness within their current or future roles. It is valuable for managers, team leaders, supervisors, specialists, consultants, and professionals seeking to stay current with industry developments and best practices. Whether your goal is career advancement, improved decision-making, or enhanced workplace performance, this course provides relevant knowledge and practical insights to support your professional ambitions.

If you would like additional information about the Field Production Optimization using Agent Based Simulation training course, our professional support team is available to assist with course enquiries, registration guidance, group bookings, and customised training requirements. We are committed to helping you identify the most suitable learning solution for your professional development goals.

 

Participants attending the Field Production Optimization using Agent Based Simulation training course gain access to valuable industry insights, practical techniques, and internationally recognised best practices. The course helps professionals improve performance, strengthen confidence, broaden their perspective, and develop skills that contribute to both personal and organisational success. It also provides an excellent opportunity to exchange ideas and experiences with professionals from diverse sectors and backgrounds.

The Field Production Optimization using Agent Based Simulation training course combines practical knowledge, current industry practices, and expert guidance to create a highly relevant learning experience. Rather than focusing solely on theory, the course emphasises practical application, enabling participants to develop skills and approaches that can be implemented directly within their organisations. This balance of knowledge and practical relevance helps participants achieve meaningful and lasting professional impact.

Yes. Participants who successfully complete the Field Production Optimization using Agent Based Simulation training course will receive a Anderson Certificate of Completion, demonstrating their commitment to professional development and continuous learning. This certificate provides formal recognition of the knowledge and skills gained during the course and can support professional growth and career progression.

Get In Touch

Still Have Questions?

Can’t find what you are looking for? Contact us and we’ll be happy to assist you with course details, corporate bookings, or technical support.

Expand Your Skills

Related Training Courses