INNOVATION

How BP Is Running Offshore Platforms Without Leaving Shore

BP is deploying live digital replicas of major Gulf platforms, blending reservoir models and real time data to improve safety, cut travel, and sharpen operations

2 Feb 2025

Deepwater offshore production platform illuminated during night operations

BP has deployed cloud-based digital twins across four of its five Gulf of Mexico production hubs, seeking to improve offshore inspections, maintenance planning and production oversight in deep water fields.

The system, rolled out at Argos, Mad Dog, Thunder Horse and Atlantis, creates a live three-dimensional model of each facility by combining laser scans, real-time sensor data and machine learning tools. BP said the technology was launched on January 29 and now spans assets from the reservoir to the topsides.

Andy Krieger, senior vice-president for BP’s Gulf of America and Canada region, said the platform “is enabling our teams to design, operate and maintain our offshore facilities more simply and safely, delivering value for BP”.

The company is using the digital twins to reduce the need for physical inspections offshore. At the Argos floating production unit, the system is used to prioritise corrosion checks and valve inspections, allowing engineers onshore to identify higher-risk areas before sending crews to the platform. BP said this had shortened inspection campaigns and reduced personnel travel, lowering costs and operational risk.

Unlike earlier static models, the digital twins extend below the seabed. The platform visualises the production system from the oil-water contact in the reservoir, through wellbores and subsea equipment, and up to surface facilities. Reservoir simulation forecasts are integrated with live operating data, allowing engineers to assess production scenarios and equipment performance in a single environment.

BP expects the approach to strengthen production optimisation and support faster operational decisions. The company is among a small number of operators applying digital twins at this scale in deep water developments, where assets are complex and access is limited.

The rollout has not been without challenges. Deep water operations face constraints on data bandwidth, limited edge computing capacity and strict cybersecurity requirements. The cost of high-resolution scanning and system integration may also limit adoption among smaller operators.

Industry analysts say the programme reflects a broader shift towards predictive maintenance and tighter emissions control, as regulators increase scrutiny of methane leaks and operators seek better lifecycle carbon tracking.

BP plans to extend the digital twin platform to its remaining Gulf assets and to projects in other regions. The expansion will be supported by a multi-year agreement signed in January with software provider Aize.

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