Course Description
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.
What you will achieve
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
How the course is delivered
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.
- .
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
Daily programme
- Petroleum Production System
- Properties of oil and gas
- Reservoir deliverability
- Wellbore performance
- Exercise: Forecast of well production
- Exercise: Production decline analysis
- 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
- 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
- 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
- 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
Certification & accreditation
BII Certificate of Completion
BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.
