When a faulty valve caused unwanted flare spikes and environmental concerns, engineers used TrendMiner to find the root of the problem.

Process experts used TrendMiner’s monitoring system to compare batches and learn optimal parameters for pH, moisture, and percent of unsulfated matter.

When engineers found deviations in quality, they used TrendMiner to compare batches. With this insight, they realized the melting cycle was ending too early.

Engineers figured out they could cut their steam consumption by 165 tons per day, and learned using TrendMiner they also could produce 50 tons more ammonia.

This reverse osmosis company violated government energy usage regulations each month until TrendMiner revealed how pump and skid timing could keep it compliant.

Use case: Compare current batch to golden batch fingerprint

This use case shows how TrendMiner analytics helped engineers assess batch run quality and take corrective action sooner for optimal production efficiency.

Use case: Distillation column trip

Discover how TrendMiner helped prevent an automatic process shutdown, improving overall equipment effectiveness, reducing costs & risk.

Control-fouling-to-improve-asset-availability

This use case shows how TrendMiner enabled predictive maintenance to control fouling, reduce costs and reduce risks with self-service industrial analytics.

Use case: Avoid bottlenecks to increase production efficiency

Learn how TrendMiner helped engineers identify a bottleneck that was preventing consecutive grade production and created a 16% efficiency gain.