Case Studies

Real-world examples of how our IoT solutions have transformed operations and reduced costs for our clients

All Case Studies

Remote Oil Pipeline Monitoring

IoTOil & GasMonitoringLoRaWAN
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Client Challenge

A multinational energy company was facing significant challenges with pipeline corrosion and leak risks in remote locations. Their existing monitoring system was inadequate, requiring frequent manual inspections that were:

  • Costly and time-consuming
  • Unable to provide real-time data
  • Reactive rather than predictive
  • Vulnerable to human error

Our Solution

Nexus Technologies designed and deployed a custom IoT system specifically engineered for harsh pipeline environments:

  • Corrosion-resistant sensors with 5+ year battery life
  • LoRaWAN connectivity for long-range, low-power transmission
  • Real-time monitoring of pressure, temperature, and structural integrity
  • Cloud-based dashboard with mobile access
  • Predictive algorithms to flag maintenance needs 3–6 months in advance

Results

40%

Reduction in unplanned downtime

$2M+

Annual maintenance cost savings

85%

Reduction in manual inspections

The system paid for itself within the first 9 months of operation and continues to deliver significant ROI through prevented leaks, optimized maintenance scheduling, and extended pipeline lifespan.

"Nexus Technologies' IoT monitoring system has transformed our pipeline maintenance from reactive to predictive. We've not only reduced costs but also significantly improved our environmental safety record."
— Operations Director, Multinational Energy Company
All Case Studies

Predictive Maintenance for Gas Turbines

Predictive MaintenanceGasAIEnergy

Client Challenge

A Middle Eastern gas plant was experiencing frequent and unexpected turbine failures, leading to:

  • Production losses exceeding $100,000 per day during outages
  • High emergency repair costs
  • Safety concerns for personnel
  • Shortened equipment lifespan

Their existing maintenance schedule was based on fixed intervals rather than actual equipment condition, resulting in either premature part replacements or missed early warning signs of failure.

Our Solution

Nexus Technologies developed and implemented a comprehensive predictive maintenance system:

  • Installed vibration and thermal sensors on critical turbine components
  • Integrated AI-driven analytics to predict bearing wear and lubrication needs
  • Developed custom algorithms based on historical failure data
  • Provided a turnkey hardware/software package with remote diagnostics
  • Trained local maintenance teams on system operation and alert response

Results

30%

Increase in turbine lifespan

90%

Accuracy in failure predictions

65%

Reduction in unplanned downtime

The predictive maintenance system has enabled the plant to schedule maintenance during planned shutdowns, optimize parts inventory, and significantly extend the operational life of their turbine equipment.

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"The AI-driven predictive maintenance system from Nexus Technologies has revolutionized our maintenance operations. We now address issues before they become problems, saving millions in downtime and repairs."
— Maintenance Manager, Middle Eastern Gas Plant

More Success Stories

Explore how our solutions have helped companies across various industries

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Smart Factory Automation

IoT-enabled production line monitoring for a major electronics manufacturer.

ManufacturingComing Soon
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Supply Chain Optimization

End-to-end visibility solution for a global logistics company.

LogisticsComing Soon
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Smart Grid Monitoring

Distributed sensor network for a renewable energy provider.

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