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Saipem launched an AI-driven system on its drillship to predict equipment failures, cut downtime, and boost safety using real-time data and machine learning.
Saipem has launched an AI-powered predictive maintenance system on its Saipem 12000 drillship, becoming the first in its fleet to use real-time data and machine learning to anticipate equipment failures, reduce downtime, and improve safety.
Developed with ADC Energy, the system enables early anomaly detection and targeted maintenance.
A similar project for diesel generators on the Saipem 7000 crane vessel, using IoT sensors and models from BIP, is set for testing soon.
These initiatives are part of Saipem’s broader push to integrate digital technologies across its offshore operations.
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Saipem lanzó un sistema impulsado por IA en su buque de perforación para predecir fallas del equipo, reducir el tiempo de inactividad y aumentar la seguridad utilizando datos en tiempo real y aprendizaje automático.