Predictive Maintenance 4.0 for Oil & Gas Industry

Predictive Maintenance 4.0 for Oil & Gas Industry An average offshore oil and gas company experiences about $40-50 million a year in losses due to unplanned downtime. To eliminate the unexpected equipment failures and maximize return on assets, O&G companies are in search for new, more efficient maintenance methods. Though Predictive maintenance is a fairly mature concept, recent advancements in cloud-based data analytics, AI/ML and the rise of the digital twin in oil and gas operations are extending the boundaries of predictive maintenance technologies.  Key discussion areas: Is predictive maintenance an investment that pays off? Impact of the new age technologies (AI, ML etc.) on Predictive Maintenance What are the key success factors for Predictive Maintenance implementation? (Budget, Culture, Technology Capabilities, Data Availability) Data is the fuel of any predictive maintenance engine – How challenging is it to integrate data from multiple sources? Increase in global information flows have created new risks around data privacy and security ramping up the stakes for cybersecurity How predictive maintenance is enabling a variety of novel business models which are in most cases different from the traditional offerings Note :  Acceptance of the participation is at the sole discretion of the Zinnov Management. The event is not open for service providers.

09/26/2019


03:00 PM

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