Sunya | Energy AI Observatory · Open the interactive dossier

Shell

6 AI initiative profiles for Shell across 5 departments, with evidence grades and source links. Strongest evidence: A · Operator filing — T-Pulse AI CCTV monitoring of unsafe acts, conditions and leaks.

Profiles (6)

• Technology and AI cost reduction

  A · Operator filing · Announced · IT, data & enterprise transformation

  Total structural reduction target $5–7bn, 2022–2028

  Source (2025-03)

• Immersion cooling fluids

  A · Operator filing · Unclear · Commercial, power & infrastructure

  Up to 33% claimed improvement; footnote describes cost savings

  Source (2025-03)

• T-Pulse AI CCTV monitoring of unsafe acts, conditions and leaks

  A · Operator filing · Operating · HSE & emissions

  Average 70% reduction in the number of safety observations made by T-Pulse since the start of deployment (site average; company-reported; includes line-of-fire and material-handling categories)

  Source (2026-05-13)

• Real-time machine vision and equipment health AI at Pearl GTL

  B · Primary publication · Operating · HSE & emissions

  No quantified results disclosed

  Source (Undated source; see chronology)

• Upstream data/AI infrastructure and agentic-solutions collaboration

  C · Vendor-reported · Announced · Production & field operations

  No quantified results disclosed

  Source (2026-01-23)

• Agentic root-cause analysis in global reliability program

  C · Vendor-reported · Announced · Maintenance & reliability

  No quantified results disclosed

  Source (2026-06-04)

Company and vendor statements are attributed, not independently validated. Evidence grades: A operator filing, B operator release, C vendor-reported, D secondary or unverified.