Sunya | Energy AI Observatory · Open the interactive dossier
Azule Energy
1 AI initiative profile for Azule Energy across 1 department, with evidence grades and source links. Strongest evidence: C · Supplier-reported — Digital well planning linked to AI-enabled rig automation.
What changed in practice?
Less time spent planning a well
192hours before; 31hours after. Supplier-described planning workflow; separate 2,000-meter section result. Case-study publication and measurement dates unknown.
SLB-reported. The 16% drilling-speed gain concerns a different measure; no complete financial return.
Read the case and original sourcesProfiles (1)
C · Supplier-reported · Operating · Operating single-well example; wider rollout unverified One offshore Angola well; no named field or basin disclosed. · Drilling & completions
Supplier reports 95% of engineering tasks automated, planning time of 192 versus 31 hours and 75% fewer manual handoffs. A 2,000-meter section had zero reported nonproductive time and 16% higher net rate of penetration than the field benchmark. These are different measures, not a common financial return.
Source (2026-10-23)
Company and vendor statements are attributed, not independently validated. Evidence grades: A operator filing, B operator release, C vendor-reported, D secondary or unverified.