TechnologyOil and gas

Saipem introduces predictive maintenance on its Saipem 12000 drillship

The first drilling-fleet installation uses real-time equipment data, while a separate Saipem 7000 generator project remains a distinct initiative.

Generated illustration for this story, not a photograph of the project.

Saipem has introduced a predictive-maintenance system aboard the Saipem 12000 ultra-deepwater drillship. Announced on 23 February 2026, the installation is the first of its kind in the company's drilling fleet. Developed with rig and vessel assurance specialist ADC Energy, it uses real-time equipment data and artificial-intelligence algorithms to identify abnormal behaviour, anticipate potential failures and support the planning of maintenance interventions. The release describes an operational technology deployment, without identifying a particular customer contract or drilling location.

The system is intended to help maintenance teams recognise emerging equipment problems before they develop into disruptive failures. Saipem links that objective to reliability, safety and the reduction of downtime and maintenance costs. These are stated aims of the deployment. The announcement does not provide independently measured savings, a quantified reduction in failures or a comparison demonstrating a particular percentage improvement over the drillship's previous maintenance arrangements.

The Saipem 12000 installation is a pilot within a broader ambition to extend analytics across the drilling fleet. EPC Feed therefore distinguishes the first vessel deployment from a completed fleet-wide rollout. A pilot can establish how data are collected, interpreted and used in maintenance decisions, but the announcement does not specify which additional rigs will receive the system or a fixed timetable for introducing it on each asset.

Saipem also describes a separate predictive-maintenance initiative for the Saipem 7000, focused on diesel generators and developed with BIP. That project combines connected sensors with machine learning, with testing expected in the months after the February announcement. The source does not establish that those tests have since concluded. The Saipem 7000 work should remain separately identified rather than being presented as another completed installation of the Saipem 12000 drilling pilot.

For offshore operators, the engineering interest lies in the connection between condition information and practical maintenance planning. Detecting an anomaly is useful when it informs a timely inspection or intervention, while decisions still need to reflect the equipment's operating context. Future evidence about availability, intervention planning and verified performance would help assess the pilot's results. At this stage, the disclosed milestone is the introduction of a specific monitoring approach on one drillship, with wider expansion and measurable benefits still requiring further reporting.

Sources

  1. Saipem introduces an AI-based predictive maintenance system onboard the Saipem 12000Company releaseSaipemPublished 23 February 2026Read 28 October 2026

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