Well Performance Prediction AI

Predict well performance with AI-driven decline curves, choke/lift sen

Forecasting well deliverability requires understanding decline behavior, lift performance, reservoir drive mechanisms, and surface constraints. Artificial intelligence accelerates this forecasting process, identifies deviations from expected trends, and ranks potential interventions while maintaining human control over the engineering decisions.

By improving forecast accuracy and detecting underperformance early, you can effectively target workovers, stimulations, or lift changes with clear confidence ranges, optimizing your operations.

Production rates, pressures/temps, choke positions, lift data, PVT, we

This system combines hybrid decline curve analysis with machine learning to predict production rates. It leverages rate-transient-inspired features, uplift prediction models, anomaly detection algorithms, and uncertainty estimation techniques for comprehensive performance monitoring.

Engineers can utilize interactive dashboards, an API for seamless integration into planning workflows, and alerts triggered by deviations from expected behavior, alongside scenario explorers for what-if analysis.

Underperformance Alerts

The system detects deviations in well performance compared to established type curves, highlighting potential issues proactively.

It also estimates the uplift and associated economics for workovers, providing critical data for informed decision-making regarding remediation strategies.

Frequently asked questions