ESP optimization

Tela™ assistant in OptiFlow™

Tela catalog

Return to Tela catalog

 

Leverage AI-driven insights and simulation for maximum efficiency.

 

Overview

Tela in OptiFlow solutions helps operators optimize ESP performance through continuous monitoring, AI-driven analysis, and autonomous optimization. By combining real-time IoT data, simulation models, and agentic AI, the solution enables adaptive, closed-loop control that improves efficiency, reduces downtime, and maximizes production performance across the field.

 

Challenges

  • ESP wells often operate below optimal efficiency due to fixed operating setpoints.
  • Manual surveillance and delayed adjustments can reduce production performance.
  • High power consumption, equipment failures, and unplanned downtime increase operating costs.
  • Operational decisions are often disconnected across surface systems, subsurface sensors, and cloud analytics.
  • Scaling optimization consistently across multiple wells can be difficult.

 

Solution

  • Stream real-time ESP data from edge-connected IoT systems to the cloud.
  • Continuously analyze well performance using AI agents.
  • Generate intelligent setpoint recommendations based on operating conditions and performance trends.
  • Enable autonomous execution of optimization actions through closed-loop control.
  • Combine real-time data with simulation models to support predictive optimization and performance tuning.

 

Tela catalog

Tela catalog

 

Features

  • Field-Wide Scalability — Apply consistent optimization strategies across multiple ESP wells and assets.
  • Agentic AI Analysis — Continuously evaluate production conditions and recommend optimal operating configurations.
  • Closed-Loop Control — Execute setpoint changes automatically to enable adaptive optimization.
  • Simulation-Driven Insights — Combine IoT data with simulation models for predictive performance tuning.

 

Benefits

  • Maximize Uptime and Efficiency — Continuously monitor and adjust operations to maintain optimal ESP performance.
  • Reduce Power Consumption and Costs — Optimize operating parameters to lower energy usage and operating expenses.
  • Protect Equipment Proactively — Detect anomalies early to safeguard equipment health and extend ESP life.
  • Enable Autonomous Optimization — Reduce manual intervention through automated workflows and remote-control loops.
  • Scale Optimization Across the Field — Apply intelligent optimization consistently across multiple wells and assets.