AI virtual river gauges for extreme-weather response
Current innovation page reports deployed gauge count and weather-response use; initial deployment date not given.
ONEOK / AI virtual river gauges for extreme-weather response
AI-173 · Source-linked project profile. Read the scope, reported result and what remains unknown.
Open the interactive projectHow to read this evidenceWhat the source says
Aims to help pipeline operators locate where flooding or water-related exposure may threaten pipeline assets when physical river-gauge coverage is sparse.
- Company
- ONEOK
- Department
- IT, data & enterprise transformation
- Record type
- company_adoption
- Disclosed stage
- Deployment reported; initial date not disclosed
- Source date
- 2026
- Source-date precision
- year
- Source provenance
- B · Primary publication
- Review disposition
- Access or verification limitation; inspect profile and source history
Reported result
No quantified results disclosed
What this does not establish
Page is undated; accessed 2026-09-27 does not prove an in-window launch or update. Gauge count and method are company-reported, provider and validation absent. No disclosed operational outcomes or comparison to physical gauges.
One of the clearest upstream/midstream-adjacent practical AI cases, with explicit physics-informed method, scale and human triage; time-window status remains uncertain because only an undated current page was reviewed.
Original sources
- ONEOK Innovation Spotlight · undated
- ONEOK Q4 2025 earnings release · 2026
Disclosure history
A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.