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Digital Twins for Asset Management and Operations

Course ME-012

Digital Twins for Asset Management and Operations

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Course Schedules Course Overview Course Objectives Target Audience Methodology Daily Agenda

Classroom

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Introduction

Course overview

A digital twin is a living digital model of a physical asset, system or facility, continuously updated with sensor, maintenance and operating data. Oil and gas operators, utilities, airports, manufacturers and large real estate and infrastructure projects are using digital twins to predict failures, test changes before making them, optimise energy use and train staff safely. Yet many initiatives stall because they start with technology instead of a clear business question and reliable data.

This Aractech course explains digital twins in practical, non-vendor terms for engineering, maintenance and operations professionals. Participants learn the types and maturity levels of digital twins, the data foundations they need (asset registers, IoT, historians, CMMS, BIM and GIS), and how analytics, simulation and AI turn that data into decisions on maintenance, reliability, performance and capital planning. The course links digital twins to recognised asset management practice, including ISO 55000.

Through case studies and workshops, participants define a high-value use case, design the data and integration architecture, build the business case and plan the governance needed to keep the twin accurate. They leave with a digital twin roadmap for an asset or facility in their own organisation.

View full course outline

What you will achieve

Learning objectives

  • Explain what digital twins are, their types and maturity levels
  • Identify high-value digital twin use cases across the asset lifecycle
  • Define the data foundations: asset registers, IoT, historians, CMMS, BIM and GIS
  • Understand how simulation, analytics and AI support predictive maintenance and optimisation
  • Design a digital twin architecture and integration approach
  • Link digital twins to asset management practice and ISO 55000
  • Build a business case with measurable KPIs such as availability, downtime and energy use
  • Plan governance, cybersecurity and change management for a digital twin programme

Who should attend

Target audience

  • Maintenance, reliability and asset managers
  • Plant, operations and facilities managers
  • Engineering and asset integrity professionals
  • Digital transformation and Industry 4.0 teams
  • Project managers for infrastructure and capital projects
  • Data and IT professionals supporting operational systems

Methodology

Learning approach

  • Expert briefings illustrated with industrial and infrastructure examples
  • Demonstrations of digital twin platforms and visualisation
  • Case studies from oil and gas, utilities, manufacturing and buildings
  • Workshops on use-case selection, data architecture and business case
  • Capstone digital twin roadmap for each participant's asset or facility

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

Digital Twin Fundamentals

  1. What a digital twin is and how it differs from a 3D model or simulation
  2. Component, asset, system and process twins
  3. Digital twin maturity levels: descriptive to autonomous
  4. Coffee break
  5. Industry 4.0, IoT and the role of digital twins
  6. Value across the asset lifecycle: design, build, operate, maintain
  7. Workshop: identifying digital twin opportunities in your operation

Day 2

Data Foundations and Architecture

  1. Asset registers, hierarchies and data standards
  2. Sensors, IoT, SCADA and process historians
  3. Integrating CMMS, ERP, BIM and GIS data
  4. Data quality, ownership and master data management
  5. Coffee break
  6. Data quality, ownership and master data management (continued)
  7. Cloud, edge and platform architecture options
  8. Practical exercise: designing the data model for a critical asset

Day 3

Analytics, Simulation and AI

  1. Condition monitoring and anomaly detection
  2. Predictive maintenance and remaining useful life models
  3. Physics-based and data-driven simulation
  4. Coffee break
  5. Physics-based and data-driven simulation (continued)
  6. What-if scenarios for operations, energy and capacity
  7. Visualisation and dashboards for decision-makers
  8. Case study: a digital twin for rotating equipment reliability

Day 4

Digital Twins in Asset Management Practice

  1. Linking digital twins to ISO 55000 asset management
  2. Risk-based maintenance and reliability-centred decisions
  3. Energy and performance optimisation
  4. Capital planning, lifecycle cost and renewal decisions
  5. Coffee break
  6. Capital planning, lifecycle cost and renewal decisions (continued)
  7. Using digital twins for training and safe operations
  8. Workshop: building the business case and KPIs for a digital twin

Day 5

Implementation, Governance and Scaling

  1. Selecting vendors and platforms
  2. Pilot design, success criteria and scaling
  3. Cybersecurity for connected operational assets
  4. Coffee break
  5. Cybersecurity for connected operational assets (continued)
  6. Organisation, skills and change management
  7. Keeping the twin accurate: governance and data maintenance
  8. Capstone: presenting a digital twin roadmap

FAQ

Frequently asked questions

What does Digital Twins for Asset Management and Operations (ME-012) cover?

This course covers Maintenance and Engineering through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The course schedule and fee are available on request. Contact Aractech for current availability and a quotation.

Who should attend this course?

Maintenance, reliability and asset managers, Plant, operations and facilities managers, Engineering and asset integrity professionals

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

The schedule and fee, including any available delivery options, are available on request. Contact Aractech for details.

Where are classroom sessions delivered?

Classroom venues are confirmed in the schedule panel for each published session.

How long is the training programme?

The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 training hours.