Topside integrity decisions depend on having accurate, contextualized information about the asset. However, when this data is disconnected from its spatial context, decision-making becomes slower, less precise, and harder to execute.

This whitepaper explores how Vidya’s approach to Asset Integrity integrates reality capture, 3D reconstruction, AI Computer Vision, and engineering workflows to create a unified digital representation of topside assets. By correlating field conditions, integrity data, and operational processes within their exact physical context, teams gain improved visibility, stronger traceability, and greater confidence throughout the integrity lifecycle.

In large offshore facilities, topside assets continuously generate large volumes of data from inspections, engineering systems, and operational activities. Thus, the main challenge lies in correlating this information within the context of the asset itself. Without a spatial connection between data and physical location, teams face limitations in visibility, traceability, and confidence when managing integrity risks and safety-critical decisions.

Vidya’s approach creates a spatially indexed digital representation of topside assets where field conditions, integrity data, and operational workflows are connected through their exact physical context. By integrating reality capture, 3D reconstruction, and structured integrity processes, teams gain a consistent view of the asset to support inspection planning, risk evaluation, mitigation actions, and verification throughout the integrity lifecycle.

A spatially integrated view of the asset enables organizations to reduce uncertainty across integrity processes, improve decision-making, and maintain traceability from risk identification to field execution. The result is a digital foundation that supports multiple industrial applications, connecting asset integrity, process safety, maintenance, and operational workflows within a single environment.