Case Study: a large oil and gas company averts catastrophic compressor failure with Nanoprecise Sci Corp's automated predictive maintenance

Catastrophic Failure Saved In 4000hp Compressor And Motor For One Of The Largest Oil & Gas Company Through Automated Predictive Maintenance

a large oil and gas company faced a challenge with the costly maintenance of a critical 4000hp compressor and motor. Their existing predictive maintenance tools were not well-suited for reciprocating machinery, leading to unplanned downtime and high repair costs. The vendor, Nanoprecise, proposed a pilot project using its RotationLF system to address this monitoring gap.

Nanoprecise installed wireless sensors that transmitted data to its AI-powered SaaS platform. The RotationLF system successfully detected a developing journal bearing unbalance and automatically alerted the plant staff weeks before a catastrophic failure could occur. This provided the customer with valuable time to schedule and organize maintenance, avoiding costly unscheduled downtime and repairing the equipment before more severe damage occurred.