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Field Production Optimization using Agent Based Simulation

Name: Field Production Optimization using Agent Based Simulation Training Course
Price: 4950 USD

Assessing proposed field improvements and production outcomes without operational risk

Course Options

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Why Choose This Course

The Field Production Optimization using Agent Based Simulation training course equips petroleum engineers and production professionals to model, analyse and improve oilfield performance. It progresses from petroleum production fundamentals to multi-method simulation in AnyLogic, encompassing discrete-event, system dynamics and agent-based models. Participants examine reservoir deliverability, wellbore performance and production decline analysis as interconnected aspects of field production. They then explore optimisation techniques, including linear programming, MILP and controllable rig time loss.

Later study addresses oilfield process modelling, GIS connectivity and scenario analysis through practical simulation activities. It also covers the incorporation of worker performance into simulation models, including their application to FEED engineering. Practical exercises take place every day, enabling participants to apply the technical material rather than only understand it conceptually. These activities build specialist capability in analysing production behaviour and improving oilfield performance through simulation and optimisation.

This Field Production Optimization using Agent Based Simulation training course will highlight:

Modelling oilfield performance using AnyLogic software
Applying discrete-event, system dynamics and agent-based simulation
Assessing reservoir deliverability, wellbore performance and production decline
Using linear programming, MILP and controllable rig time loss
Connecting oilfield process models with GIS and scenario analysis
Incorporating worker performance into simulation models for FEED engineering

Why Choose Field Production Optimization using Agent Based Simulation

Course Goals

What are the Goals?

This course on field production optimization through agent-based simulation is designed to guide delegates from the core principles of petroleum engineering to advanced simulation modelling and optimization based on model outputs.

Upon completing this course, delegates will be able to:

Evaluate petroleum production systems — Use an understanding of reservoir deliverability, wellbore performance, and fluid properties to forecast production.
Perform production decline analysis — Apply established methods to model and predict well production over time.
Implement optimization techniques — Use linear programming, non-linear programming, and MILP to optimize production variables.
Develop simulation models in AnyLogic — Build discrete-event, system dynamics, and agent-based models with AnyLogic software.
Simulate oilfield processes — Specify oil production processes, collect operational data, and identify data distributions for use as simulation inputs.
Utilize the AnyLogic fluid library — Develop simulation models that reproduce oilfield fluid behavior and supply chain flows.
Carry out scenario and output analysis — Assess outputs from different scenarios and apply GIS connectivity to improve model relevance.
Include worker performance modelling — Incorporate human performance variables within multi-method simulation models.
Use simulation in FEED engineering — Apply a structured methodology for using multi-method simulation in front-end engineering and design.

Who is this Training Course for?

This Field Production Optimization using Agent Based Simulation training course is designed for:

Petroleum Engineers
Production Engineers
Reservoir Engineers
Field Development Engineers
Production Optimisation Engineers
Reservoir Simulation Engineers
Oil and Gas Modelling Specialists
Digital Oilfield Engineers
Field Operations Engineers
Asset Modelling and Simulation Specialists

Learning Approach

How will this Training Course be Presented?

This field production optimization using agent based simulation course combines structured technical teaching with practical software exercises, ensuring delegates can develop and use models rather than only grasp the underlying concepts.

Course delivery includes:

Instructor-Led Technical Sessions — Specialist-led teaching presents petroleum production fundamentals, optimization methods, and simulation methodology in a clear and logically structured order.
AnyLogic Software Exercises — Throughout the course, delegates use AnyLogic directly to construct models, progressing from introductory simulations to complete agent-based and fluid library models.
Process Modelling Workshops — Guided exercises take delegates step by step through the development of discrete event models, agent-based models, and multi-method simulations.
Oilfield Case Application — Using realistic oilfield scenarios, delegates apply modelling methods to defining oil production processes, collecting data, and reviewing the supply chain.
Scenario and Output Analysis — Hands-on sessions address output comparison, GIS connectivity, and the integration of worker performance into simulation models.
FEED Engineering Application Review — The course concludes with a structured examination of how multi-method simulation is used within front-end engineering and design workflows.

The Course Summary & Outline

Day 1

Petroleum Production Engineering Fundamentals
Day 2

Optimization Techniques
Day 3

Simulation Techniques and Process Modelling
Day 4

Oilfield Process Modelling
Day 5

Model Analysis and Optimization

The Field Production Optimization using Agent Based Simulation training course begins with the principles of field production, the factors affecting production performance and the role of optimisation within operational constraints. It then introduces agent-based simulation, including the definition of agents, their behaviours, interactions and operating environment. The agenda progresses to representing field production systems through simulation models, establishing the relationships between production components and examining how individual and collective agent behaviour can reflect changing field conditions.

The course continues with model development, the use of production data, parameter setting, calibration and validation before moving into simulation runs and scenario analysis. Attention then turns to evaluating alternative operating conditions, identifying production constraints and applying agent-based models to optimisation decisions. The final part brings these elements together through field production applications, sensitivity and comparative analysis, interpretation of simulation results and consideration of more advanced uses of agent-based simulation in production planning and operational decision-making.

Recognition

Certificate

Delegates who successfully complete the Field Production Optimization 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 optimizing field production through agent-based simulation. It examines how simulation can be used to analyze proposed operational improvements before they are applied. The emphasis is on supporting risk-free analysis of potential changes.

Agent-based simulation provides a way to examine proposed field production improvements before implementation. In this course, it is presented as the basis for analyzing how potential changes may affect production. This supports informed optimization decisions without directly testing changes in live operations.

Key outcomes of this course include: evaluate petroleum production systems — Use an understanding of reservoir deliverability, wellbore performance, and fluid properties to forecast production; perform production decline analysis — Apply established methods to model and predict well production over time; implement optimization techniques — Use linear programming, non-linear programming, and MILP to optimize production variables.

This course is designed for Petroleum Engineers, Production Engineers, Reservoir Engineers, Field Development Engineers, Production Optimisation Engineers and Reservoir Simulation Engineers. Participants examine reservoir deliverability, wellbore performance and production decline analysis as interconnected aspects of field production.

You will learn how agent-based simulation can support the analysis of field production improvements. The course connects production optimization with the evaluation of proposed changes in a simulated setting. Its central theme is assessing improvements without exposing actual operations to unnecessary risk.

The analysis is described as risk free because proposed improvements are evaluated through agent-based simulation rather than first being tested in the field. This allows potential changes to be examined before they affect actual production. The course therefore links simulation with lower-risk evaluation of optimization ideas.

The course builds the ability to use simulation-based analysis when considering field production improvements. It encourages proposed changes to be assessed before implementation rather than relying only on live operational trials. This supports more informed production optimization decisions.

This course is designed for Petroleum Engineers, Production Engineers, Reservoir Engineers and Field Development Engineers. If you are unsure whether it matches your experience, our advisory team can help you choose the right level.