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Predictive Maintenance for Upstream Oil and Gas

An IoT and AI platform on Azure that monitors critical rotating equipment and predicts failures days in advance for upstream oil and gas operators.

-55%Unplanned downtime
-30%Maintenance cost
DaysOf advance failure warning

Typical outcomes for this kind of engagement. Results depend on your data and starting point.

THE CHALLENGE

Unplanned failures on compressors, pumps and turbines defer production and cost heavily per incident.

  • Production losses from unplanned equipment failures
  • Calendar-based maintenance over-servicing healthy assets and missing degrading ones
  • Limited remote monitoring for offshore and remote sites
OUR APPROACH

CloudGate builds a predictive maintenance platform that ingests sensor data from critical rotating assets through Azure IoT Hub.

  • Real-time sensor ingestion via Azure IoT Hub
  • Anomaly detection and remaining-useful-life models on Azure Machine Learning
  • Digital twin asset models for operating context
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