How Phillips 66 and Shoreline AI transformed midstream operations
summary
Phillips 66 and Shoreline AI describe a working AWS-based asset performance monitoring stack that moves remote compressor and pump sites from infrequent manual checks to continuous multi-sample monitoring, claims a new-asset deploys in 15 minutes flow, uses smart vibration sensors plus ultrasonic monitoring added, and combines physics models with AI‑ML to raise alarm accuracy for sites hours from help. Pilot data migrates into cloud lakes for future optimization; team estimates only about 10% of platform value is realized so far.
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chapters (10)
- 0:00Introduction
- 0:48Why Phillips 66 chose Shoreline AI
- 2:12Challenges in the midstream sector
- 4:54Phillips 66 and Shoreline partnership
- 6:51How does all this connect together
- 9:18Feedback from AWS and Phillips 66
- 10:55Challenges in midstream
- 13:45Initial project goals
- 17:53Whats next
- 20:10Conclusion
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