Luxoft > Case Studies > Saving millions by avoiding expensive downtime for hydraulic fracturing equipmen

Saving millions by avoiding expensive downtime for hydraulic fracturing equipmen

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 Saving millions by avoiding expensive downtime for hydraulic fracturing equipmen - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Equipment & Machinery
Applicable Functions
  • Maintenance
Use Cases
  • Predictive Maintenance
The Challenge

To extract shale oil and gas, specialized equipment is used to fracture rock via a process called hydraulic fracturing (or “fracking”). To do this efficiently, users must know when their equipment needs maintenance. If the equipment stops working while in the well, millions of dollars are lost due to downtime and logistics.

 

Additionally, our client, a major oilfield equipment company, needed a way to make their product stand out. They wanted to accomplish this by providing oil and gas software solutions but had no idea on how to develop and deliver software in the cloud.

About The Customer
A major oilfield service company that provides equipment and software solutions for hydraulic fracturing
The Solution

Bringing on industry and technology experts and using an Agile methodology, Luxoft developed an end-to-end hydraulic fracturing hardware controls and automation software suite. Using IoT, big data collection and analysis, cloud and predictive maintenance technology, this solution monitors the fracking equipment, determining if it’s in good working order or not long before breaking down. When the software detects abnormal parameters or determines it’s time for scheduled maintenance, users automatically receive a preemptive alert with suggestions on the next steps.

Operational Impact
  • [Financial Growth - Revenue]

    Increases revenue: Our client has sold more hydraulic fracturing equipment as a result of bundling this new oil & gas software solution

  • [Cost Reduction - Maintenance]

    Significant cost savings: Avoids costly failures valuing millions of dollars through a predictive maintenance solution, by determining when the equipment will fail long before it actually fails

  • [Efficiency Improvement - Operation]

    Operational efficiency: Through a user-friendly dashboard, equipment health report and automated notifications, users gain powerful insights that help improve processes over time

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