JuraESP

ESP Intelligent Platform

Enable closed-loop intelligent management of ESP wells, shifting maintenance from preventive to predictive and paving the way for unmanned operations.

What is JuraESP?

By leveraging machine learning and digital twin technologies, JuraESP enables closed-loop intelligent monitoring and management of ESP wells—from data acquisition and aggregation to evaluation, diagnostics, forecasting, and optimization. It shifts preventive maintenance to predictive and automated maintenance, supporting intelligent production and laying the foundation for unmanned operations.

What are the Key Challenges?

Limited Operational Visibility


Massive amounts of ESP well data remain fragmented and underutilized, lacking integrated visualization and analytical tools.

Delayed Anomaly Alerts


Reliance on manual experience for anomaly prediction, efficiency evaluation and operational anomaly alerts, with no real-time intelligent diagnosis or solution recommendations.

Inefficient ESP Maintenance


Maintenance schedules and optimization measures are not data-driven, resulting in both over-maintenance and under-maintenance. This shortens equipment lifespan and increases unplanned downtime and operational costs.

Weak Integration with Reservoir Dynamics


ESP well management lacks strong linkage with reservoir dynamic analysis. Without integrated optimization models, production potential at the well level is underutilized, reducing long-term recovery efficiency.

How Do We Solve These?

Single-Well Monitoring

Enable real-time monitoring of key well metrics, including production, bottomhole pressure, pump efficiency, current, and liquid production rate.

Production Optimization

Provide macroscopic oversight and intelligent optimization of ESP operations through zoned visualization, status charts, and efficiency trend tracking.

Unified Display Dashboard

Adopt a large-screen interface to centrally display the overall operation status of all ESP wells across the entire oilfield and the real-time operating conditions of key wells.

Multi-Parameter Integrated Alert

Use PCA dimensionality reduction, the system processes 13 parameters from well production operations and visualizes the well's current operating status and historical production performance in a 3D format.

ESP Health Analysis

Utilize deep learning on key parameters, it facilitates single-well health assessment, full-field ESP lifetime prediction, and macroscopic health visualization, delivering precise data for optimized maintenance and risk mitigation.

Performance Metrics Summary, Analysis, and Drill-Down

Perform multidimensional statistics and analysis of core ESP indicators, with full traceability across key technical domains: design, operations, maintenance, and QC.

Technical Advantages of JuraESP

Unified Data Foundation

Powered by JuraData, bringing scattered ESP well data into a single, standardized platform with seamless service interfaces—no silos, no barriers.

Smarter Modeling

With JuraML, mechanistic models meet big data, training and refining six core diagnostic algorithms for more accurate, actionable insights.

Cloud-Edge Synergy

High-precision models trained in the cloud, deployed at the edge for ultra-low latency and real-time analysis—intelligence where it’s needed most.

Adaptive Intelligence

Models that evolve with field conditions, continuously enriched by new cases and knowledge to stay relevant, reliable, and production-ready.

Rapid Innovation

Leverage JuraComponents to quickly assemble specialized visualization and workflows, turning complex requirements into tailored solutions with speed and flexibility.

Value for Our Clients

Lower Failure Rates


Condition-based maintenance

Higher Efficiency


Intelligent well selection

Optimal Production


Dynamic parameter control

Ready to Step into Digitalization?