Sunya | Energy AI Observatory · Open the interactive dossier
6 AI initiative profiles for Baker Hughes across 5 departments, with evidence grades and source links. Strongest evidence: C · Vendor-reported — AI sourcing optimization across procurement data.
50% sensitivity; nine missed failures. 137 pumps overall; 83 failed pumps trained. Remaining failed-test count inferred as 18. Conference 29–30 October 2024; underlying records historical.
Nine misses and 50% sensitivity imply 18 failed test cases; this denominator is inferred. Five misses involved short circuits. Event definitions depend on maintenance actions. Not a live failure rate or abandonment.
Read the case and original sourcesThree-year order target $3bn, previously $1.5bn
No quantified results disclosed
No quantified results disclosed
Vendor reports 200+ active users, 30+ million data records and a 5–7% acceptance rate for opportunities. “Millions” of benefit in CY2025 has no exact amount or currency.
Eight-week prototype; 200+ pages processed; 85% reported answer success. Estimated 10,000 hours/year is existing support workload, not saved time.
No quantified results disclosed
Supplementary notes can update existing programs or describe adjacent work. They are not extra adoption counts.
At Soledad in Veracruz, Baker Hughes built a shared production and well database for surveillance and intervention planning. The wider contract covered 393 wells, including 200 active wells; the software population is not specified.
Baker Hughes reports reallocating about 140 work hours a month to well issues after centralizing monitoring. Its reported decline improvement from 3% to 1.5% per month covers a wider field program that also included workovers, chemistry and infrastructure.
Limits: The headline and body describe the 393 wells differently; the body gives contract scope, not a reactivation or software rollout count. Work hours reallocated are not payroll savings. No isolated software contribution to field decline, full costs or net ROI.
Baker Hughes case study: mature-field operations at Soledad · Unknown
Baker Hughes describes an advisory-mode UAE carbonate-drilling case supported from its remote operations centre.
The vendor reports 22 alerts, 22 hours saved against a previous well, 5% higher penetration rate and no stuck pipe or fluid losses.
Limits: The customer and well are unnamed. A prior-well comparison does not isolate AI from the wider automation service, crew or geology. Costs, accepted recommendations and repeatability are undisclosed; no ROI is established. The deployment date is unknown; the PDF revision does not establish a 2026 deployment.
Kantori drilling advisory case · UAE · 2026-04
Partial call screen · call 2026-10-28
All 18 pages of issuer prepared remarks downloaded and topically screened, with relevant digital, AI and remote-monitoring passages read in context. Document ends when questions are invited. Q&A remains unscreened; this is a partial call review despite the issuer index labeling the download Transcript.
Prepared remarks describe an SBM service agreement combining maintenance with iCenter remote monitoring and diagnostics.
Agreement covers 27 LM2500 gas turbines across four FPSOs.
Limits: Contract scope, not verified commissioning or AI-attributed improvement; no measured benefit or full costs.
Baker Hughes Q3 2026 earnings conference call prepared remarks · Prepared remarks PDF/printed pp.1–18; digital/monitoring awards p.6; p.18 hands over to Q&A.