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.
- 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.