Predictive Maintenance AI for Upstream Oil & Gas

Unplanned equipment failures at remote upstream sites were causing costly production halts, with maintenance teams relying on fixed schedules rather than real-time asset health data.

Everlast Data deployed ruggedised edge AI nodes at each site, running anomaly detection models on sensor streams from rotating equipment, pipelines, and electrical systems — with satellite backhaul to a central MLOps platform.

Unplanned downtime reduced by 72%, maintenance costs cut by 31%, and the platform identified 14 critical failure events in its first six months of operation before they occurred.