Oil and Gas

Predictive maintenance gains greater significance in oil and gas industry

GlobalData's report on predictive maintenance finds oil & gas companies are increasingly relying on it due to aging infrastructure and volatile crude pricing.
By GlobalData May 24, 2019
GlobalData's report on predictive maintenance finds oil & gas companies are increasingly relying on it due to aging infrastructure and volatile crude pricing. Courtesy: GlobalData, Oil and Gas Intelligence Center

The importance of predictive maintenance has increased in oil and gas operations against the backdrop of aging infrastructure and volatile crude pricing, according to GlobalData.

The company’s thematic report: ‘Predictive Maintenance’ revealed the adoption of predictive maintenance technologies is helping companies cut back on operational expenditure by optimizing maintenance scheduling and driving productivity.

“The insights gained from predictive maintenance program enables decision makers to schedule maintenance activities without disrupting routine production operations,” said Ravindra Puranik, oil & gas analyst at GlobalData. “These insights can also be used to evaluate if any machinery or infrastructure requires a major overhaul on priority, and accordingly decide whether to use the available capital expenditure for new projects and expansion plans or divert it for the upgrading of existing facilities.” 

Predictive maintenance is a fairly mature concept and has been widely deployed in the oil & gas industry over the last 20 years. Predictive maintenance tools evaluate the condition of operational equipment and predict maintenance requirements in order to achieve optimum performance and prevent malfunction.

GlobalData's report on predictive maintenance finds oil & gas companies are increasingly relying on it due to aging infrastructure and volatile crude pricing. Courtesy: GlobalData, Oil and Gas Intelligence Center

GlobalData’s report on predictive maintenance finds oil & gas companies are increasingly relying on it due to aging infrastructure and volatile crude pricing. Courtesy: GlobalData, Oil and Gas Intelligence Center

Predictive maintenance utilizes automated condition monitoring and advanced data analytics to gather vital equipment statistics – such as vibration, temperature, sound, and electric current – and compare them with historical records of similar equipment to detect signs of deterioration.

Puranik said, “Recent advancements in cloud-based data analytics and the rise of the digital twin in oil and gas operations are extending the boundaries of predictive maintenance technologies, making it a reliable tool for monitoring asset integrity.”

GlobalData

www.globaldata.com

– Edited from a GlobalData press release by CFE Media.

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