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Predictive Maintenance 4.0 for Oil & Gas Industry

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JW Marriott Houston Downtown

806 Main street

Houston, TX 77002

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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.
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JW Marriott Houston Downtown

806 Main street

Houston, TX 77002

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