Digital Twins for Asset Management and Operations

Why Attend

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 LLMI 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.

Course 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

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

Course Methodology

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