Lenden Vaz, Vice President for Energy & Utilities at Birlasoft takes APMEN through on ensuring smooth operations with predictive maintenance.
The oil and gas industry uses old machinery — at least 15 years old for its upstream, midstream, and downstream operations. So, periodic inspection and maintenance activities are essential to keep them operational. However, such reactive maintenance doesn’t offer any guarantees against unplanned downtime.
Using predictive maintenance, oil and gas companies can rely on IIoT-enabled technology, such as sensor data, and leverage predictive analytics for real-time equipment inspection. This helps predict maintenance requirements, which cuts maintenance costs and reduces unplanned equipment failures.
An average oil and gas company goes through at least 27 days of unplanned downtime each year, costing US$38 million. Even if the downtime lasts for just 3.65 days, the resulting losses can be as high as US$5 million.
More On Why Is Predictive Maintenance Important —–> https://rb.gy/xqh2u2
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