Artificial intelligence is set to play a significant role in the maintenance of Shell's critical assets as the global energy giant shifts from basic anomaly detection to fully-automated predictive maintenance.
Shell plans to leverage the capabilities of C3 AI, which has developed an agent-based approach to monitoring equipment and identifying potential issues before they arise. This agent-based system will enable the company to analyze vast amounts of data on over 30,000 pieces of critical equipment across both upstream and downstream operations.
By moving from a reactive approach to proactive predictive maintenance using agents from C3 AI, Shell aims to minimize downtime and ensure the reliability of its assets. The Reliability Suite currently utilized by the company keeps tabs on more than 30,000 key pieces of equipment, but this new initiative will take it to the next level with enhanced automation capabilities.