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Case Studies

Predictive Maintenance


Identify potential equipment failures ahead of time and prevent unplanned downtime.

Predictive Maintenance

Challenge

Oil and gas companies are adversely affected by pipeline failures because they experience numerous work interruptions and shutdowns that result in high maintenance costs. It is therefore necessary to apply smart predictive maintenance to prevent this issue.

Solution
  • Different failure modes of pipelines, their causes, and their consequences were studied in detail.
  • Based on the research conducted, a conceptual model for predictive maintenance was suggested.
  • The conceptual model was validated by triggering the most critical failures in a controlled environment.
  • Once 100% accuracy was achieved after the trial run, the conceptual model was implemented in the plant to attain near zero downtime.

Project Info

  • Category :Predictive Maintenance
  • Client : Oil & Gas
  • Location : United States
  • Completed Date : 2020

Value-Addition​​​

  • Reduced the downtime caused due to pipeline failures by almost 55%​
  • The associated maintenance costs were reduced by 30%
  • The predictive model was scaled to detect selected machine and equipment failures​.
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  • Exploration and Assessment
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