ESP VFMMind converts electrical and mechanical measurements into reliable production intelligence.
ESP VFMMind is the LiftMind intelligence service that estimates downhole liquid production rate in ESP wells without physical flow meters. It combines physics-based ESP performance modeling with machine-learning adaptation to deliver reliable, real-time flow estimates under changing operating conditions.

By reconciling electrical measurements, pump performance models, and well operating conditions, ESP VFMMind determines the pump operating point and calculates the downhole liquid flow rate that best represents the true production state of the system.
The mechanical power available at the pump shaft inferred from measured electrical quantities, and the pump pressure predicted from the pump performance model at a trial flow rate.
Physics ensures realism and stability and machine learning provides adaptability and speed. The result is a robust hybrid virtual flow metering system.
ESP VFMMind provides virtual flow metering by reconciling physics-based pump behavior with real operating data
VFMMind Pricing
Free
Explore the full capabilities of the module within a limited operational scope for one month.
Basic
Designed for focused production analysis with core analytics and API access for up to 10 wells.
Pro
Built for multi-well environments requiring broader analytical depth and support for up to 50 wells.
Enterprise
Tailored for large-scale operations with custom well capacity, dedicated support, and advanced integration options.
