AI Predictive Maintenance — 10,000+ Assets Monitored with 20 Billion Weekly Sensor Readings

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AI Predictive Maintenance — 10,000+ Assets Monitored with 20 Billion Weekly Sensor Readings

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Shell has scaled its predictive maintenance program, powered by C3 AI technology, to monitor and maintain more than 10,000 pieces of equipment in upstream, manufacturing, and integrated gas assets across its global asset base. AI predictive maintenance enables Shell to identify equipment degradation and failures before they happen, allowing operators to take proactive measures and avoid costly unplanned downtime, production interruptions, and potential risks to the environment and human safety. Monitored equipment includes control valves, pumps, compressors, and other critical components. Shell's deployment of AI predictive maintenance at global scale is an impressive achievement, delivering significant economic, environmental, and human safety benefits. Underlying the ability to monitor more than 10,000 pieces of equipment is a technical infrastructure that supports global deployment across Shell's upstream, downstream, and integrated gas assets. It ingests 20 billion rows of data weekly from more than 3 million sensors. It trains, tunes, and runs nearly 11,000 machine learning models in production. It makes over 15 million predictions every day. Shell plans to accelerate its predictive maintenance program this year. Shell is also exploring additional use cases on the C3 AI Suite, including asset integrity, production optimization, system optimization, safety, and sustainability. Shell and C3 AI announced a five-year renewal of their strategic agreement to accelerate the deployment of enterprise AI and ML applications on the C3 AI Suite across Shell. To benefit the entire energy industry, Shell has commercialized its AI predictive maintenance applications built with C3 AI software. The solutions are available to the general market through the Open Energy AI initiative (OAI), an open ecosystem with the goal of advancing the use and adoption of AI in the energy sector, of which Shell, C3 AI, Baker Hughes, and Microsoft are founding members.