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.
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.
A utility gained $260,000 in business value after TrendMiner helped it determine when to calibrate the inlet valves for its natural gas generator.
When a faulty valve caused unwanted flare spikes and environmental concerns, engineers used TrendMiner to find the root of the problem.
This reverse osmosis company violated government energy usage regulations each month until TrendMiner revealed how pump and skid timing could keep it compliant.
In this webinar, TrendMiner Customer Success Manager Daniel Münchrath discusses how pattern recognition and machine learning is used to accelerate energy transition goals and how it helps to go net-zero. He presents use cases for improving energy efficiency and explains how to perform a post-implementation review of a retrofit towards renewables using self-service analytics.
Discover how self-service industrial analytics is used to improve the production efficiency of compression systems. in this presentation from TrendMiner 2021 Oil & Gas Event.
Discover how TrendMiner’s self-service analytics solution is helping the water & wastewater sector improve asset performance and reliability.