RussiaEnergy and utilities2025 – ongoingRosneft
RN-AutoBalance neural-network water-injection optimization
Rosneft reported 4% higher oil production in an RN-AutoBalance field trial
Problem
Mature-field production required engineers to allocate injected water among wells with different effects on oil recovery.
Approach
Rosneft's Tyumen research institute developed RN-AutoBalance to model relationships between producing and injection wells. It calculated operating settings and redirected injection toward more effective wells. A 3-month trial at the Malyk field optimized 46 injection wells.
Results
Takeaway
The measured result covered a field trial. Deployment at other Rosneft fields remained planned.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Rosneft reported a trial of neural-network water-injection optimization at the Malyk field. It claimed 4% higher oil production and planned deployment at additional fields.
Full details are in the original sources.
