How did BRL streamline operations across a broad and diverse asset network?
Challenge
BRL oversees more than a hundred technical sites – pumping stations, drinking-water facilities, wastewater treatment plant, dams, and irrigation infrastructure – spread across a vast and varied territory.
Yet access to consistent, reliable, and up-to-date technical information was limited. Each site had its own history, documentation gaps, and operational specificities, making maintenance planning, contractor coordination, and onboarding of new staff unnecessarily complex.
The lack of unified asset visibility slowed project preparation and made it difficult to maintain a clear, accurate 3D overview of such a geographically dispersed network.
Solution
To overcome these challenges, BRL sought a way to build a living, consolidated view of its infrastructure – accessible to internal teams and external partners alike.
That’s why they chose Shared Reality.
By integrating 55 sites in year 1 into a single digital environment, BRL now gives its teams immediate access to accurate 3D views, technical inventories, and documentation. This dynamic digital twin enhances understanding of each facility, speeds up maintenance preparation, and offers a seamless entry point into BRL’s GMAO and EDMS systems.
This approach strengthens BRL’s data-driven asset strategy, supports long-term infrastructure planning and equips teams to operate more efficiently in a region facing accelerated climate-driven adaptation.
Results
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Beyond delivering a region-wide digital representation, the solution allows for the progressive enhancement and validation of the data used in our maintenance and asset-management systems, while helping us compensate for the lack of technical drawings and operating schematics on our oldest sites.
Much like the deployment of our geographic information system (GIS) for networks ten years ago, implementing Shared Reality now allows us to manage the technical data of our production assets more effectively at a time when our infrastructure must rapidly adapt to the realities of climate change.
Thanks to 3D scanning, we quickly obtained accurate digital models of our facilities.
Samp's AI enabled us to transform the scanned point clouds into different known equipment, ready to be linked to our business systems.
We were impressed by this product, which is practical, fast, and allows our teams to build BIM models that can be interfaced with our operating tools.
