Case Study

A large midstream petroleum company leverages data to reduce pipeline leakages

A large midstream petroleum company leverages data to reduce pipeline leakages

Pages 5 Pages

A large midstream petroleum company tackled pipeline leakages using Fosfor Decision Cloud's predictive analytics system. By ingesting over 10 million records of time-series data from IIoT sensors into a data lake hourly, they implemented proactive measures to identify and prevent leaks. This approach reduced maintenance costs, environmental risks, and regulatory issues, while minimizing financial losses. The predictive models detected deviations in pressure readings, enabling early leak detection and timely maintenance. Fosfor's solution enhanced operational efficiency and positioned the company as a leader in sustainable pipeline management.

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