Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
ConocoPhillips · OPX Ai
Vendor-reportedEnergy & utilitiesCanadaIn productionEnterpriseClassical ML
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by spe.org (vendor self-report). Checked against the source page on 2026-09-05. 2 of 2 figures below appear on that page word for word.
The problem
Ensuring flow assurance and facility uptime, monitoring for hydrate conditions, compressor performance, and liquid loading in pipelines, especially in a harsh winter climate.
What was deployed
- Vendor
- OPX Ai
- Products
- IOCaaS
- Models
- hydrate-risk model, AI pattern-recognition model
- Technique
- Classical ML
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- modern, standardized SCADA, data historians, compressor’s vibration signature, discharge pressure trend
- Scale
- multiwell pad development
- Timeline
- 4 months
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
3 to 4production increasefrom forecastAfter 4 months of operation
“After 4 months of operation, ConocoPhillips saw measurable benefits. Even with only a partial year of data, the Montney asset team calculated a 3 to 4% production increase above forecast on the AI-optimized wells.”
Quoted word for word from the source
LOE
“This contributed to an overall reduction in LOE of approximately 5%, supported by fewer emergency callouts and more efficient chemical usage.”
Quoted word for word from the source · round percentage, no baseline given
no hydrate-related outages occurredHydrate-related downtimeduring the evaluation period
“Downtime was significantly reduced, as no hydrate-related outages occurred during the evaluation period.”
Quoted word for word from the source
Sources
- spe.org — vendor self-report, 2026-04-01
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