Woodside Energy Uses AI to Optimize Industrial Operations

Woodside Energy is integrating artificial intelligence into its core operations, moving beyond consumer-facing AI tools to enhance industrial infrastructure management. The company has spent years developing predictive analytics, optimization systems, and machine learning tools across exploration, drilling, maintenance, and plant operations. Andrew Melouney, Woodside's vice president for digital, stated that the "very large volumes of operational data" generated by their equipment and assets have created "clear, quite high-value use cases" for AI.

This long-term investment in infrastructure and data governance is now facilitating a transition towards agentic AI systems designed to support complex industrial workflows. Rather than aiming to replace human operators, Woodside is focusing on AI systems that augment human expertise in critical environments. A notable example is the "Startup Advisor," an AI copilot that assists operators in managing the intricate process of initiating liquefied natural gas (LNG) plants.

Melouney emphasized the goal of empowering employees with AI to "make better decisions, to make faster decisions." This approach aligns with a broader trend in industrial AI, where companies are progressing from isolated AI experiments to enterprise-wide systems. These systems are built upon standardized platforms, governed data, and repeatable deployment strategies.

The company's strategy indicates a significant evolution in how industrial AI is being implemented. Melouney suggests that this transition necessitates a reevaluation of both technology stacks and the fundamental ways in which work is performed within organizations. The focus is on creating AI systems that are deeply embedded and contribute to the overall operational continuity and safety of industrial processes.