EnergyLab 2

Learn how you can support your company by leveraging the data in TrendMiner to achieve a more sustainable process

WaterLab 2

Watch this webinar and learn how you can support your company on the road to water sustainability by improving operational efficiency

Creating Contextual Prescriptions from the Root Cause Analysis

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.

Energy Balance Models

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 learn when to clean the aeration elements used in biological wastewater treatment despite a high variance of variables.

Engineers at this wastewater treatment plant learned using TrendMiner why its pH levels were higher after a partial pipe replacement project.

Identifying the Correct Oil-Well Bean-Up Profile

When an oil company needed to figure out the flow rate from a well, it used TrendMiner monitoring to keep the wells operational and prevent sudden shutdowns.

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