JuraESP - OiO

Overview
Key Challenges
Solution
Technical Advantages
Value for Our Clients

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.

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.

Solutions

Production Process Monitoring

Integrates with SCADA and other operational systems to provide a comprehensive real-time view of wellhead, downhole, and ESP performance parameters.

Production Status Alert

Establishes multi-dimensional warning models for wells and ESP systems, enabling real-time automated analysis and alerts.

ESP Health Analysis

Uses 9 parameters (frequency, voltage, vibration, etc.) and deep learning algorithms to assess equipment damage levels, generate health curves for each well, and calculate remaining pump life.

Production Optimization

Establishes coordination between reservoir capacity and pumping system performance, implementing measures to shift well operations from suboptimal to optimal conditions.

Technical-Advantages

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.

Rapidinnovation

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

Value for Our Clients

Significantly Reduce Failure Rate

Guided preventive maintenance based on production status evaluation and operational analysis has lowered the annual average failure rate from 8.1% to 7.2%.

Boosted Efficiency

Machine learning-driven well selection and optimization solutions reduce related workload by 50%.

Intelligent optimization parameters

Dynamic adjustment of well parameters maximizes production while enhancing energy efficiency.