AI-102 · Source-linked project profile. Read the scope, reported result and what remains unknown.
Open the interactive projectHow to read this evidenceA data foundation and a few selectively deployed applications could support operational availability, but public details do not identify the specific decisions or refinery systems affected.
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Transcript is third-party hosted, not a company-primary transcript; attributed wording is secondary-only. Official webcast page confirms event, not the reported AI claims. Existing details about availability, model scope and data history have not been verified against official transcript/audio.
A decade of consistent operating-data practices is the prerequisite for refinery AI; start with availability and inspection use cases.
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Valero's refining SVP Greg Bram said Valero is evaluating several AI and ML applications and has deployed some to improve availability. He stressed that success depends on high-quality operating data, which Valero began standardizing 10-15 years ago. Valero also uses robotics for tank cleaning, drones for inspections, and control-room consolidation.
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