Drive Efficiencies Across Onshore and Offshore Assets

Achieve a 75% reduction in offshore asset breakdowns and gain a 56% increase in efficiency.

Identifying and predicting anomalies keeps assets online and productive.

With oil prices volatile and expensive capital equipment at stake, every penny and every breakdown counts.

Banish Operational Inefficiencies and Mitigate Your Risks

One unproductive day on an LNG platform can cost up to $25 million. DataRPM Anomaly Detection and Prediction identifies anomalies to help push productivity higher and risks lower to make real impact on your bottom line.


Anomaly Detection

The key is anomaly detection—the process of identifying outliers in a normal range of performance. Historical data, current data and external influencing factors are analyzed simultaneously to establish baselines for asset performance on an ongoing basis.


Predictive Maintenance

When implemented through unsupervised machine-learning, anomaly detection can help predict future anomalies before they happen so you can take appropriate action. The result is assets that last longer and perform at their best—helping you avoid costly repairs and downtime.


Remote Asset Monitoring
90% reduction in unplanned downtime
65% increase in asset integrity
20% reduction in inspection and maintenance time
Elimination of Operational Inefficiencies
60% enhanced reliability
46% improvement in throughput
20% higher asset economic life
Significant Cost Savings
35% reduced employee costs
20% higher revenue
15% savings in inventory costs
Success Story

How IIoT helped Transform a Gas Pipeline

Anomaly Detection and Prediction let the client identify gas pipeline stations with the highest contribution to pipeline performance and the reasons for varying performance between individual stations.

Read the Story

Progress Anomaly Detection and Prediction

Detect and predict anomalies by automating machine learning to achieve higher asset uptime and yield maximization.