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SUNYA
Sunya / Energy AI research

Patterson-UTI / Cortex machine-learning autodriller and REX rig alerts

AI-117 · Source-linked project profile. Read the scope, reported result and what remains unknown.

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What the source says

This is scalable, named AI-enabled product use, but year-end “nearly all” measures the automation suite, not a claim that every rig used ML autodrilling continuously.

Company
Patterson-UTI
Department
Drilling & completions
Record type
company_adoption
Disclosed stage
Nearly all active rigs equipped with Cortex apps by Q4 2025
Source date
2026-02-04
Source-date precision
day
Source provenance
A · Operator filing
Review disposition
Source-attributed; not an independent validation

Reported result

No quantified results disclosed

What this does not establish

Company’s broad “automation” rig penetration is not AI-specific; machine-learning claim applies to Cortex autodriller.

Analyst inference: This is scalable, named AI-enabled product use, but year-end “nearly all” measures the automation suite, not a claim that every rig used ML autodrilling continuously.

Original sources

Disclosure history

Cortex ML autodriller and REX monitoring drive rig margins

Patterson-UTI credits its Cortex automation platform (machine-learning autodriller), REX cloud early-alert monitoring and its Digital Performance Center with differentiated rig performance. On completions it uses Vertex frac automation and FleetStream real-time data feeds.

A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.