Within four hours of using TrendMiner, chemical engineers learned why a batch reactor produced some batches at a lower quality than others.

Process experts used TrendMiner to identify inlet and steam flow timeframes and help control steam loss in a two-part filtration process.

Learn how you can use self-service analytics software to reduce downtime by setting up anomaly detection models.

Before starting a root cause analysis to set up new monitors and alerts, engineers used TrendMiner to calculate steam balance.

A drop in sulfur recovery could have environmental and regulatory effects, so engineers used TrendMiner to save this solution for the future.

This petrochemical plant used TrendMiner to create energy balance models and determine when 17 bar steam consumption was excessive.

When a low-density polyethylene reactor suddenly shutdown after maintenance, engineers used TrendMiner to determine it was human error.

Engineers used TrendMiner to find the root cause of waste gas emission spikes quickly, which improved safety and helped the company achieve net-zero operations.

When a plant suffered from coking problems and shutdowns as its product cooled, engineers used TrendMiner to determine how to keep the factory operational.

Using TrendMiner features, chemical engineers can forecast the normally unpredictable useful life of a catalyst bed for more accurate production scheduling.