Sunya | Energy AI Observatory · Open the interactive dossier
13 AI initiative profiles for SLB across 8 departments, with evidence grades and source links. Strongest evidence: B · Primary publication — EPA-approved SOOFIE continuous methane monitoring with AI event detection.
No quantified results disclosed
More than 50 customers
Facility footprint nearly doubled
No quantified results disclosed
No quantified results disclosed
No quantified results disclosed
No quantified results disclosed
Wells using Aqueon: >7,500 (Vendor-reported)
No quantified results disclosed
SLB reports processing more than 1,000 emails and 200 vendor invoices per month and effort equivalent to one full-time employee saved. The case separately says 22 invoice fields are extracted.
Within first 28 days of launch, SLB reports 800+ AI-powered matches and 150 similar projects inspiring facility initiatives. These are activity/claimed follow-on counts, not quantified savings or verified project consolidation.
Microsoft page reports $10 million recovered in export duties; workflow description says it processes received documents. The source does not disclose the measurement period, baseline, or direct attribution method.