Leveraging the predictive and proactive capabilities of big data and AI to develop new standards for leak detection systems — meaning safer pipelines and a cleaner environment.
We collect historical and real-time data from pipelines to train machine learning models for each pipeline segment.
Pipeline operators can monitor real-time data models to detect anomalies and identify possible leak scenarios.
This advanced technology enables accurate and timely alerts, minimizing false alarms to operators.
We are taking a new approach to liquid pipeline leak detection – utilizing
machine learning, data science and advanced computational capabilities.
In 2017, our partner, Bridger Pipeline, identified a need for improved monitoring and leak detection in their pipelines across the Rocky Mountain West. They realized not only that existing technologies were inadequate, but also that there was an opportunity to merge their decades of industry knowledge with cutting-edge technology to build a better solution.
And so Flowstate was born…