Jianghan Oilfield AI for shale gas, drilling, safety and production
Jianghan deployment portfolio and use cases published
Sinopec / Jianghan Oilfield AI for shale gas, drilling, safety and production
AI-144 · Source-linked project profile. Read the scope, reported result and what remains unknown.
Open the interactive projectHow to read this evidenceWhat the source says
This is the broadest detailed field-use disclosure in the cohort and exposes real workflows rather than an AI ambition. Metrics span distinct systems and should not be pooled into a single AI benefit claim.
- Company
- Sinopec
- Department
- IT, data & enterprise transformation
- Record type
- company_adoption
- Disclosed stage
- Multiple use cases described as in use in 2025
- Source date
- 2025-05-28
- Source-date precision
- day
- Source provenance
- D · Secondary / unverified
- Review disposition
- Access or verification limitation; inspect profile and source history
Reported result
fracture simulation accuracy: >80% (Company-reported); safety inspection efficiency: >50% increase (Company-reported); liquid-loading alert accuracy: >95% (Company-reported)
What this does not establish
Chinese subsidiary/field source; group-wide deployment is not established. Performance measures are company-reported.
Analyst inference: This is the broadest detailed field-use disclosure in the cohort and exposes real workflows rather than an AI ambition. Metrics span distinct systems and should not be pooled into a single AI benefit claim.
Original sources
- 〖中国石化报〗多场景推进人工智能技术应用 · 2025-05-28
Jianghan Oilfield AI deployment section
Disclosure history
A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.