Global Energy Leader Preempts Downtime with Predictive Maintenance

A global oil and gas company, headquartered in the U.S., has delivered results for decades by staying abreast of technology. It recently set out to harness the power of predictive analytics in anticipation of reducing equipment service interruptions. Such interruptions resulted in lost production and increased maintenance and replacement costs. While it knew what it wanted to accomplish, the energy exploration and production specialist sought a roadmap to success. The organization enlisted BlueGranite’s help to implement a predictive analytics solution that prevents equipment failures.

RESULTS AT A GLANCE

  • The energy giant tasked its data science team with analyzing sensor data coming off the machines to begin identifying leading indicators of performance decline and failure among ESPs
  • To solve the organization’s technical challenges, its data science team assessed Azure Databricks on top of the Azure Data Lake Store as analytics and storage tools with the help of BlueGranite.
  • The company can now store all its data in a single place. Azure Data Lake Store provides unlimited storage for all sensor data across all its pumps.

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