Abstract

Intelligent Assets, sometimes referred to as digital twins, have gained attention for their ability to optimise operations and enhance decision-making in an increasingly complex and data-driven world. These assets are equipped with sensors and advanced analytics capabilities for real-time monitoring, predictive maintenance, and process automation. By creating a virtual replica of the physical asset or system, organisations can gain real-time insights and data-driven decision support for operations and maintenance. Woodside has advanced its vision for Intelligent Assets through its digital platform, Fuse, which was created to improve decision-making and optimise operations of its assets. The development of Fuse has been guided by the principles of sensing, insight, and action, ensuring safer, higher-performance operations. Fuse brings together multiple data sources, including process control information, sensor data, weather data, and historical performance data, for real-time monitoring of the asset. The platform provides a single pane of glass into the operation of the asset with advanced analytics for a deeper understanding of the performance and enabling action. Woodside provides use cases where sense, insight, and action have come together using their Fuse platform to deliver business outcomes, including enabling virtual operator rounds and condition-based maintenance. However, the implementation of Intelligent Assets can uncover several obstacles, such as data integration, scalability, and user adoption. Woodside seeks to shed light on these challenges and offers valuable insights for organisations striving to achieve successful digital outcomes.

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