Rovisys Case Studies Predictive Maintenance for Gas Pipeline Compressors
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Predictive Maintenance for Gas Pipeline Compressors

Rovisys
Predictive Maintenance for Gas Pipeline Compressors
Energy
Maintenance
Predictive Maintenance

CPG had a compression asset failure that interrupted service and had the potential to create customer dissatisfaction.

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Houston-based Columbia Pipeline Group (CPG) owns 15,000 miles of interstate pipeline across 16 states. They operate more than 100 stations with approximately 1.1 million horsepower of compression, delivering approximately 1.3 tcf of natural gas per year.

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CPG tapped Aurora, Ohio-based automaton firm, The RoviSys Co., to develop a real-time monitoring system. The new enterprise analytics program uses SharePoint, PI, and SQL technologies to analyze data and drive proactive and corrective actions. Its objectives are to avoid a facility shutdown and to minimize failures in compressor stations.

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Downtime, Fault Detection, Gas Meters, Maintenance Requirements, Per-Unit Maintenance Costs
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Mature (technology has been on the market for > 5 years)
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[Efficiency Improvement - Deployment]
Upon implementation, the process for cutting over from the old PI system to the new system was seamless.
[Efficiency Improvement - R&D]
Also, two additional PI environments were designed and implemented: one for CPG to develop new analytic concepts and the other for early adopters to test those concepts before deploying the technology to the entire enterprise. These environments allow CPG to grow its ideas without disrupting day-to-day operations.
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