Artificial Intelligence

The adoption of artificial intelligence has the ability to create opportunities including improving the safety of our people, the efficiency of our operations and the profitability of our business.

Artificial Intelligence

Woodside has embedded everyday use of AI across our business to support operations and enterprise productivity.

We have a clear, phased AI approach that aligns people, processes, and technology.

AI at Woodside

Woodside’s artificial intelligence journey began in 2015 with a desire to unlock decades of company knowledge. This early start, including the development of our in-house cognitive assistant “Willow”, and the creation of the digital twin technology FUSE, laid the foundation for Woodside’s current AI capabilities.

Woodside is in the scaling phase of its agentic AI strategy, following a history of investment and innovation in traditional AI technologies like machine learning. Traditional AI has delivered benefits across the business for many years, primarily through analytics and data science applied to optimise maintenance and production. Generative and agentic AI is expected to have a significant impact on the business, and Woodside is developing its people, processes, and technology platforms to support this transition.

Woodside has moved well beyond pilot projects. Today, Woodside has embedded everyday use of AI across our business to support operations and enterprise productivity. Woodside has a clear, phased AI strategy approach that aligns people, processes, and technology. Our strategy focuses on improving operational efficiency, simplifying processes, and developing connected AI agents that create value. The adoption of artificial intelligence has the ability to create opportunities including improving the safety of our people, the efficiency of our operations and the profitability of our business.

Responsible AI

We are committed to the advancement of AI, driven by our responsible AI principles:

Reliability and safety, transparency, privacy and security, accountability, inclusiveness and fairness, and our Woodside Values.

 

Responsible AI is central to Woodside’s approach. Every AI use case is assessed through a structured process to ensure solutions align with our Responsible AI Principles. Our AI Centre of Excellence provides the platforms and tools that enable AI to be deployed consistently and responsibly across the organisation. An AI Council, made up of senior leaders from across Woodside’s corporate functions, provides enterprise wide oversight, aligning governance, risk, and delivery while prioritising high impact use cases that benefit the business and its people.

 

We recognise that AI technologies and expectations will continue to evolve and are committed to ongoing review and continuous improvement.

Delivering Value

AI is already embedded in how we work and is delivering value across Woodside.

Woodside’s enterprise AI platform, Lumina, supports over 50 AI Agents that handle day-to-day tasks across our business functions, freeing people to focus on higher-value work. In addition to Lumina, Microsoft Copilot provides Office 365 integrations for personal productivity and ChatGPT Enterprise serves as an AI sandbox for analytics and testing custom agent solutions prior to integration into Lumina.

Maintenance

We recently launched our ‘Maint Intel’ smart technology at the North West Shelf Project, an AI-enabled tool that helps us be very targeted and efficient with maintenance.

Developed by Woodside, ‘Maint Intel’ recommends optimal maintenance schedules by analysing huge volumes of data and comparing historical performance against our reliability targets. It has been used on the Angel platform to identify a potential 15% reduction of maintenance hours is possible, year-on-year, for the next five years.

Startup Advisor

Starting up an LNG plant is one of Woodside’s most complex tasks. The Startup Advisor uses AI, automation, and digital procedures to guide operators through each step and compare real time performance against a proven standard. This helps our team start-up plants more safely and consistently, strengthens operator skills, and makes it easier to learn from past start-ups.

It has been proven in live operations and used in critical situations to analyse previous startups, support real-time decision-making, and give the operations team the confidence to act. CCR leads and panel operators have endorsed the tool and the confidence it gives them to learn from historic start-ups to make informed decisions, even in scenarios that have not been encountered previously.