Case Studies Proactive Maintenance Saving Millions of Dollars

	Proactive Maintenance Saving Millions of Dollars

Proactive Maintenance Saving Millions of Dollars

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics
Applicable Industries	Oil & Gas
Applicable Functions	Maintenance
Use Cases	Machine Condition Monitoring
Challenge	One of the world’s largest exploration and production companies was operating as leanly as possible given the prolonged slump in oil prices. As such, an operational parameter wasn’t effectively monitored and equipment failure went unnoticed in the machines. Read More
About Customer	One of the world’s largest exploration and production companies Read More
Customer Name	undisclosed Read More
Solution	SmartSignal from GE Digital detected signs of machine stress on particular equipment. The Rapid Response team in GE’s Industrial Performance & Reliability Center notified the customer of this stress and began briefing the customer during weekly calls. Rather than waiting until a hard alarm was tripped at the customer facility that would have induced reactive maintenance, the IPRC presented the customer with a range of potential root causes, upon which the customer inspected the equipment to determine which of the causes was underlying. During inspection, the customer discovered the cause of machine stress. Rather than waiting months to replace the faulty machine at its scheduled date of replacement, the customer replaced the machine during planned downtime as soon as it detected potential machine failure. Read More Log in to view content
Data Collected	Downtime, Equipment Status, Fault Detection, Machine Performance, Process Parameters 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

Maintenance

Use Cases

Machine Condition Monitoring

Challenge

One of the world’s largest exploration and production companies was operating as leanly as possible given the prolonged slump in oil prices. As such, an operational parameter wasn’t effectively monitored and equipment failure went unnoticed in the machines.

About Customer

One of the world’s largest exploration and production companies

Customer Name

undisclosed

Solution

SmartSignal from GE Digital detected signs of machine stress on particular equipment. The Rapid Response team in GE’s Industrial Performance & Reliability Center notified the customer of this stress and began briefing the customer during weekly calls. Rather than waiting until a hard alarm was tripped at the customer facility that would have induced reactive maintenance, the IPRC presented the customer with a range of potential root causes, upon which the customer inspected the equipment to determine which of the causes was underlying. During inspection, the customer discovered the cause of machine stress. Rather than waiting months to replace the faulty machine at its scheduled date of replacement, the customer replaced the machine during planned downtime as soon as it detected potential machine failure.

Data Collected

Downtime, Equipment Status, Fault Detection, Machine Performance, Process Parameters

Impact #1	[Efficiency Improvement - Production Uptime] GE IPRC’s early detection of machine problems combined with the customer’s proactive maintenance allowed the customer to avoid tens of millions of dollars’ worth of lost production.

Impact #1

[Efficiency Improvement - Production Uptime]
GE IPRC’s early detection of machine problems combined with the customer’s proactive maintenance allowed the customer to avoid tens of millions of dollars’ worth of lost production.

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Overview

Proactive Maintenance Saving Millions of Dollars

Operational Impact