Field Production Optimization using Agent Based Simulation

An Intensive 5-day Training Course

Field Production Optimization
using Agent Based Simulation

Risk Free Analysis of Proposed Improvements

UPCOMING SESSIONS

Classroom sessions
DateVenueFee
12-16 May 2025Istanbul - Turkey$5,950RESERVE A SEAT
13-17 Oct 2025Dubai - UAE$5,950RESERVE A SEAT
19-23 Jan 2026Dubai - UAE$3,950RESERVE A SEAT

Training Course Overview

As real-life systems become more complex, our understanding of them must grow accordingly. The oil and gas industry faces ongoing challenges in exploration, production, and transportation, which must be optimized to enhance productivity and efficiency. Constant innovation, process updates, and the adoption of new technologies are crucial for progress within the sector.

However, implementing updates and innovations often disrupts ongoing projects, leading to delays and frustration, despite their ultimate goal of improving operations. On the other hand, failing to adopt innovation, reduce research, and update processes jeopardizes long-term profitability. Agent-Based Simulation modeling facilitates effective change management by allowing analysis, optimization, and experimentation in a controlled, risk-free environment. This approach enables companies to test and evaluate changes without interrupting production, addressing potential issues and risks early on, before they manifest in real-world applications.

This training course will feature:

  • Forecasts of well productions
  • Production decline analysis
  • Optimization Techniques-Linear Programming, Non-Linear Programming
  • Agent-based, system dynamic and discrete event modeling
  • Using AnyLogic simulation software for process analysis and optimization
  • Implementation of the optimum values of parameters in the production system
  • How to harness the power of data acquisition and process simulation for production planning?

Training Course Objectives

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

Designed for

This Field Production Optimization using Agent Based Simulation 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

Learning Methods

This 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 Outline

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

The Certificate

  • Anderson Certificate of Completion will be provided to delegates who attend and complete the course
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