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Satellites and Technologies for Underground Pipeline Leak Detection

  • Writer: Kommu .
    Kommu .
  • 3 days ago
  • 2 min read

Satellite/Technology

Company/Organization

Detection Method

Use Case & Capability

Reference

PipeWATCH with Dove Satellites

Planet Labs/Stantec

Multispectral Imaging(3m resolution) + Vegetation Health Analysis

Detects leaks via vegetation stress caused by contaminants. Retrospective analysis of stored imagery.

ASTERRA Recover

ASTERRA (Utilis)

L-band SAR (Synthetic Aperture Radar) + AI Algorithms

Identifies soil moisture anomalies from underground water leaks. Detects leaks as small as 0.5 L/min.

ALOS-2 (PALSAR-2)

JAXA

L-band SAR

Penetrates soil to detect dielectric signatures of water-saturated soil. Used by ASTERRA for leak detection.

Sentinel-1

ESA

C-band SAR

Monitors ground deformation and soil moisture changes near pipelines.

TerraSAR-X

Airbus

X-band SAR

High-resolution imaging for geohazard detection (e.g., landslides) near pipelines.

WorldView-3

Maxar

Short-Wave Infrared (SWIR) + Multispectral Imaging

Detects hydrocarbon leaks via surface vegetation stress and thermal anomalies.

NISAR (upcoming)

NASA/ISRO

L+S-band SAR

Future satellite for groundwater and subsurface leak detection (launching 2024).

Key Detection Methods

  1. Vegetation Health Monitoring (PipeWATCH):

    • Uses Dove satellites to analyze vegetation indices (NDVI) for stress caused by leaks.

    • Detects leaks retrospectively using stored imagery.

  2. L-band SAR (ASTERRA Recover):

    • Penetrates soil up to 3 meters to identify dielectric signatures of leaking water.

    • Achieves 80% hit rate in field inspections.

  3. Thermal/Infrared Sensors (UAVs & Satellites):

    • IR sensors detect temperature anomalies from gas leaks (e.g., methane).

    • Used in combination with satellite data for validation.

  4. Machine Learning Integration:

    • Combines radar data with AI to improve leak prediction accuracy (e.g., ASCE study: 69% detection rate).

Comparison of Technologies

Technology

Strengths

Limitations

Multispectral Imaging

- Retrospective analysis


- Cost-effective for large areas

- Weather-dependent


- Limited subsurface penetration

L-band SAR

- Subsurface penetration (3m)


- Works day/night, in all weather

- Lower resolution (30–100m)


- Requires AI for data interpretation

Fiber Optic Sensing

- Real-time monitoring


- High sensitivity (detects pinhole leaks)

- Invasive installation


- High upfront cost

Thermal/IR Sensors

- Direct leak detection (gas)


- High accuracy

- Limited to surface/subsurface gas leaks

Industry Adoption

  • ASTERRA Recover: Used in 57 countries, with 36,000+ leaks verified since 2016. Reduces water loss by 368 billion gallons/year48.

  • PipeWATCH: Achieves 3m resolution, improving to 25cm by 2022 for precise leak localization1.

  • AP Sensing Fiber Optics: Compliant with API 1175 and Shell DEP 31.40.00 standards for leak detection3.

Next-Generation Solutions

  1. ICEYE (MicroSAR Satellites):

    • Commercial SAR satellites offering frequent revisits for near-real-time monitoring.

  2. Machine Learning + SAR:

    • ASCE study combines texture features from radar data with random forest algorithms for automated leak detection6.

Practical Applications

  • Oil/Gas Pipelines: Detects hydrocarbon leaks via vegetation stress (PipeWATCH) or thermal anomalies (WorldView-3).

  • Water Pipelines: Identifies non-surfacing leaks using L-band SAR (ASTERRA).

  • Wastewater Systems: Monitors underground leaks to prevent environmental contamination4.

For deployment details, visit ASTERRA or Planet Labs.

Citations:

  1. https://www.stantec.com/en/ideas/content/blog/2019/how-satellite-technology-can-monitor-buried-pipelines-and-find-leaks-more-quickly

  2. https://asterra.io/resources/finding-leaks-the-role-of-satellite-leak-detection/

  3. https://www.apsensing.com/en/application/process-automation-and-pipeline-monitoring/pipeline-monitoring

  4. https://asterra.io/solutions/recover/

  5. https://www.suez.com/-/media/suez-uk/files/publication/casestudy-identify-more-leaks-with-satellite-leak-detection.pdf

  6. https://ascelibrary.org/doi/10.1061/9780784485279.074

  7. https://satpalda.com/pipeline-monitoring-and-surveillance-using-geospatial-approach/

  8. https://asterra.io/wp-content/uploads/2021/08/LeakDetection-Whitepaper-LETTER_WEB.pdf

  9. https://asterra.io/about/

  10. https://spottitt.com/industry-news/utilizing-satellite-data-to-mitigate-pipeline-failures-and-risks/

  11. https://e2g.com/industry-insights-ar/pipeline-monitoring-and-leak-detection-essential-technologies-and-practices/

  12. https://www.stantec.com/en/ideas/topic/innovation-technology/detecting-leaks-using-remote-sensing-pipeline-monitoring.html

  13. https://www.bbc.com/news/uk-england-42251811

  14. https://ursaspace.com/blog/a-sar-based-approach-to-pipeline-monitoring/

  15. https://www.gp-radar.com/article/the-evolution-of-leak-detection-in-buried-water-lines

  16. https://www.suez.com/en/uk/water-network-management/leakage/satellite-water-leak-detection

  17. https://www.randwater.co.za/RWI/Resources/Satellite%20technology.pdf

  18. https://www.sciencedirect.com/science/article/pii/S2667305324000784

  19. https://assets.new.siemens.com/siemens/assets/api/uuid:afbb7151-8d69-4687-bc88-9e5ae6e6067b/sar-analytics-potable-water-leak-detection.pdf

  20. https://www.mdpi.com/2624-6511/7/4/91


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