Product Optimization

IPOS CASE STUDIES
Proven Operational Impact

Documented Production Uplift & Risk Mitigation

IPOS has been deployed across active ESP portfolios to deliver measurable operational impact through physics-based diagnostics and real-time surveillance.

Case Study 1: Production Optimization – +334 BOPD

A producing ESP well operating at 52 Hz was delivering ~2,122 BOPD.

IPOS digital twin analysis determined the well could safely increase frequency to 66 Hz while remaining within motor and hydraulic constraints.

Result:

  • Production increased to ~3,130 BOPD
  • Net uplift of approximately 334–335 BOPD
  • No equipment constraint violation


Production optimization driven by engineering logic — not trial-and-error adjustments.

Case Study 2: Early Gas Lock Detection

The system identified increasing Head System Deterioration correlated with rising Turbine Factor and Gas Volume Fraction — indicating gas lock potential.

Before significant production loss occurred:

  • IPOS flagged the anomaly
  • Operations adjusted wellhead pressure
  • Total Dynamic Head was restored
  • Production performance stabilized


Early detection prevented extended lift inefficiency and production decline.

Case Study 3: Pump Deterioration & Wellbore Leak Detection

Despite stable surface indicators, IPOS digital twin analytics detected a persistent head deterioration trend.

Automated alerts intensified as degradation continued.

Root cause analysis revealed previously undetected wellbore leaks — not visible through conventional monitoring methods.

Outcome:

  • Timely intervention
  • Mitigated further production losses
  • Prevented prolonged ESP damage

Case Study 4: Discharge Pressure Prediction Validation

The IPOS model’s discharge pressure predictions were validated against sensor data across six operational wells.

Results showed minimal variance between calculated and measured values, demonstrating high model precision.

Accurate predictive modeling enabled:

  • Confident operational decision-making
  • Reduced uncertainty in ESP performance
  • Improved optimization planning

Measurable Impact

Across deployments, IPOS has demonstrated:

  • Production increases at individual well level
  • Early identification of gas lock conditions
  • Detection of pump degradation before failure
  • Prevention of avoidable ESP pulls
  • Reduced deferred production


This is not theoretical optimization.
It is documented operational performance.

IPOS Mission

From remote desert wells to full-field portfolios, IPOS delivers continuous operational visibility, early anomaly detection, and measurable financial impact.

Problem

Production Loss Happens Quietly. In artificial lift operations, production rarely fails suddenly.

Solution Overview

From Field Data to Production Decisions. IPOS integrates Field Edge Hardware, Secure Communication, Cloud-Based Analytics, and RTOC Engineering Oversight.

Hardware

Field-Deployable Edge & Satellite Communication System. Capture Production Data at the Source.

Software

Real-Time Production Intelligence & Alerting. The IPOS Software Platform transforms raw field data into structured operational decisions.

RTOC

Technology identifies. Engineers decide. The IPOS Real Time Operations Center (RTOC) transforms system alerts and diagnostics into structured operational action.

Ready to Strengthen Production Visibility?

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