JOURNAL ARTICLE

Case Study: Industrial Data Platform and Digital Twin Power Advanced Maintenance at Cosmo Oil: Real-time data, AI, and predictive maintenance deliver ample efficiencies to three refineries, where engineers previously spent 70 to 80% of their time collecting maintenance data

  • Published In: New Equipment Digest, 2025, v. 90, n. 4. P. 8 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Kennedy, Sheila 3 of 3

Abstract

The article details how Cosmo Oil implemented a centralized data platform and digital twin to overcome siloed maintenance data, drastically reducing time spent on data collection and enabling predictive and collaborative maintenance across its three refineries. Topics include digital twin technology, artificial intelligence for predictive maintenance; and virtual reality for remote operations.

Additional Information

  • Source:New Equipment Digest. 2025/12, Vol. 90, Issue 4, p8
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0028-4963
  • Accession Number:193079373

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