Rovisys Case Studies Predictive Maintenance for Gas Pipeline Compressors

Edit This Case Study Record

	Predictive Maintenance for Gas Pipeline Compressors Rovisys

Predictive Maintenance for Gas Pipeline Compressors

Rovisys

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics
Applicable Industries	Oil & Gas
Applicable Functions	Process Manufacturing
Use Cases	Machine Condition Monitoring
Challenge	CPG had a compression asset failure that interrupted service and had the potential to create customer dissatisfaction. Read More
About Customer	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. Read More
Customer Name	Columbia Pipeline Group Read More
Solution	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. Read More Log in to view content
Data Collected	Downtime, Fault Detection, Gas Meters, Maintenance Requirements, Per-Unit Maintenance Costs Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Predictive Analytics

Applicable Industries

Oil & Gas

Applicable Functions

Process Manufacturing

Use Cases

Machine Condition Monitoring

Challenge

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

About Customer

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.

Customer Name

Columbia Pipeline Group

Solution

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.

Data Collected

Downtime, Fault Detection, Gas Meters, Maintenance Requirements, Per-Unit Maintenance Costs

Impact #1	[Efficiency Improvement - Deployment] Upon implementation, the process for cutting over from the old PI system to the new system was seamless.
Impact #2	[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.

Impact #1

[Efficiency Improvement - Deployment]
Upon implementation, the process for cutting over from the old PI system to the new system was seamless.

Impact #2

[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.

Download PDF Version

Overview

Predictive Maintenance for Gas Pipeline Compressors

Operational Impact