The energy sector is at a pivotal moment. As the world races toward decarbonisation, energy companies are tasked with an enormous challenge: reduce environmental impact while maintaining operational excellence.
AI and digital twins are at the heart of this transformation, offering real-time data insights that enable smarter, more sustainable decision-making.
Learn how AI helps heavy asset industries improve their operations
Here’s how five industry leaders are leveraging these tools to revolutionise their operations.
When it comes to streamlining oil production, Aker BP is setting the standard. Their digital twin platform integrates data from subsurface models, drilling operations, and facility performance into a unified interface.
This allows operators and engineers to:
The result? Faster decisions, fewer errors, and a measurable reduction in environmental impact.
Managing offshore platforms is no easy feat, but a US based oil and gas company is making it greener and safer with the help of digital twin technology.
By monitoring the real-time status of offshore platforms, engineers can troubleshoot issues remotely minimising the need to send personnel into potentially hazardous environments.
During a maintenance event on their offshore platforms, data from their digital twin was used to identify and resolve a technical issue without having to deploy engineers to the platform.
This remote troubleshooting significantly reduces carbon emissions, boosts safety and helps the company meet its sustainability targets.
As organizations transition to greener energy systems, maintaining reliability while reducing waste has never been more important.
Digital twins can enable predictive maintenance and optimise energy use, ensuring more efficient and sustainable operations.
For companies like Aker BP this means extending the life of equipment and significantly cutting waste, both in terms of resources and emissions.
Shell is tackling the challenge of corrosion under insulation with precision. Using sensor data and environmental analytics, they can predict high-risk areas without the need for labor-intensive insulation removal.
This targeted approach helps:
Equinor is leveraging advanced simulators to optimise processes and enhance operator skills. These simulators provide detailed virtual environments, ensuring operators are well-prepared for both routine and emergency scenarios.
By centralising simulator services, Equinor improves accessibility and standardisation across global installations.
These simulators allow Equinor to:
From oil and gas to renewable energy, digitalisation and AI are driving unprecedented
change in how heavy asset industries operate. These tools are not just helping companies meet their sustainability goals, they’re proving that smarter operations are also more profitable.
In the offshore wind sector TGS integrates their advanced data analytics with Kongsberg Digital’s twin solution, creating real-time simulations of offshore wind assets.
This innovative approach allows developers to visualise and predict operational performance before construction begins, leading to informed decision-making that minimises risks and optimises resource allocation.
This data-driven strategy enhances project planning and operational efficiency. The results are cost savings over the project lifecycle, ultimately driving the growth and sustainability of offshore wind energy.
