Strategy and Quality

REVEAL — "Subsea Revealed" — is the current phase of Aker BP's Subsea Transformation and a fundamental rethink of how subsea integrity is managed. It shifts the model from inspection campaigns and reports toward visible, trusted, decision ready insight: raw data captured by next generation sensor carriers is turned into clear evidence engineers can act on, served directly into a 3D field twin environment, to compe current observations against historic baselines. The aim is to bring hardware, engineering, visualisation, AI, and integrity workflows into a single end to end approach that reduces manual interpretation and prepares the ground for autonomous operations. None of this is possible without a deliberate data foundation. This presentation argues that data, data governance, and data management are the true enablers of REVEAL — the difference between data engineers merely receive and data they can trust and act on. It shows how Aker BP structures core subsea data products, governs geospatial products in ArcGIS, establishes a federated governance model across the GIS, Field Twin, and Subsea Data Management teams with clear owner/steward/custodian roles, and runs a single data issue service loop. Attendees will see why embedding governance from the outset makes a sensor driven subsea transformation deliverable

Many organizations are rich in data, systems, and digital tools, yet struggle to realize their full potential. This presentation introduces the concept of the “gap to potential” — the difference between current ways of working and what becomes possible when data is effectively utilized.

Drawing on experience from Digital Twin implementations and Information Management in operations, the session highlights how existing data foundations — structured engineering data, historical records, and integrated platforms — already enable significant value creation. It shows how these foundations support new ways of working, reduce manual effort, and shift focus toward better decision-making.

The presentation emphasizes that high-quality, governed data is the key enabler for AI. Without it, AI amplifies inefficiencies; with it, AI can connect fragmented information, reuse historical data, and deliver insights at scale. The key message: AI creates value by closing the gap to potential — enabled by strong Information Management, robust data foundations, and a focus on scalable impact.