AI waterflood Insights
Challenge
- Maximizing positive cashflow and reserves while meeting production targets with optimal management of waterflood operations.
- Reducing decision-making time and accelerating response to operational upsets to achieve desired outcomes.
- Leveraging data-driven modeling and AI.
- Unable to comprehend source of unexpected water channeling in producers.
- Not observing the expected ‘production kick’ in target producers.
- Not having clear decision alternatives and model outcome estimates to deal with injection allocation issues when unscheduled well events occur.
- Large fields, high producer and injector well stock overwhelms surveillance engineers' ability to respond quickly.
Solution
The AI waterflood management solution combines design thinking principles and a human-centric approach to improve current performance with the use of cloud technologies, data analytics, machine learning algorithms, automation, and augmented.
“The implementation of domain data-driven optimization is a game changer in supporting operational decisions. It has allowed us to quickly generate actionable insights, improved our confidence in inter-well connectivity and sweep estimation, and reduced time to decisions by 80%.”
South America customer
Results
Customizable decision support system for managing waterfloods.
Easy to deploy and use. Needs only production rate data. 3D-grid models optional.
Physics based model with ML enhancements. Nominal data requirement for training.
10x improved efficiency. Response options developed in minutes rather than hours or days.
10% incremental production gain.
Minimize HSE exposure by significantly reducing field visits.
