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.
Engineers used TrendMiner to create condition-based monitoring of fouling in a Pygas stripper so they knew the right time to clean.
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.
Watch this webinar on demand to see how easy trend analysis can be; how to use the analytics capabilities to quickly find root causes for process anomalies and monitor operational performance and learn why thousands of users LOVE the new production client for each analytics maturity level and how they all can contribute to business outcomes.
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.
Process experts used TrendMiner to identify inlet and steam flow timeframes and help control steam loss in a two-part filtration process.
This plant lost 25% of the particles that dropped through its prill tower until engineers discovered while using TrendMiner that cooler temperatures made a better product.
