Improved Satellite and Geospatial Tools for Pipeline Operator Decision Support Systems
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Improved Satellite and Geospatial Tools for Pipeline Operator Decision Support Systems

Filetype[PDF-2.38 MB]


  • English

  • Details:

    • Alternative Title:
      OASRTRS-14-H-CAL: Improved Satellite and Geospatial Tools for Pipeline Operator Decision Support Systems
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    • NTL Classification:
      NTL-GEOGRAPHIC INFORMATION SYSTEMS-GEOGRAPHIC INFORMATION SYSTEMS
    • Abstract:
      Under Cooperative Agreement No. OASRTRS-14-H-CAL, California Polytechnic State University San Luis Obispo (Cal Poly), partnered with C-CORE, MDA, PRCI, and Electricore to design and develop improved satellite and geospatial tools for pipeline operator decision support systems. The goal of this project was to extend the available Commercial Remote Sensing & Spatial Information tools to enhance the use of satellites to provide an efficient and effective means of monitoring pipeline right-of-ways (ROW) and detecting potential threats before they impact pipeline operations. The team used satellite remote sensing, geospatial data information, and readily available web-based datasets to enhance existing pipeline operator Decision Support Systems (DSS) for pipeline integrity management. The overall technical approach was broken down into the following three areas: • “Big Data” in support of Commercial Remote Sensing and Spatial Information (CRS&SI) technologies for pipeline and critical transportation infrastructure; • Encroachment Monitoring & DSS; and • Ground Movement & DSS development. Traditionally, monitoring large, geographically distributed pipeline networks has been accomplished using ground or aerial surveys, both of which are time and cost intensive. The use of satellite radar imagery can reduce time and costs, shorten the repeat interval, and allow for monitoring independently of weather or remoteness. Satellite monitoring can provide an effective means of long-term monitoring, and also has the potential to detect possible issues along pipeline routes before they impact operations. Encroachment Monitoring - The team examined the capabilities of a new generation satellite-based synthetic aperture radar (SAR) systems that have higher resolution modes to provide all-weather, day or night monitoring of a specific geographic location. This monitoring, dubbed Encroachment Management Service (EMS), is achieved using computerized change detection to identify potentially hazardous activities, combined with analyst quality control of the computerized results to create an output product of activity. This report includes the evaluation of optimizing detection algorithms and reducing false detections to make the service ‘more practical and cost effective. In particular, the project has helped illustrate the potential of reducing false positives and detecting early or leading indicators in satellite imagery. Ground Movement - The objectives of ground movement monitoring are to examine the utility of the techniques for land classification, deformation, and change analysis utilizing SAR data from the RADARSAT-2 satellite program, and then effectively upload the derived information into a DSS for easy access, analysis, and response action (as needed) by pipeline operators. The goals included: Identify the reliability of slope stability risk mapping using the combined; Approaches of polarimetric change detection and ground deformation mapping; Create a product that would easily portray the information needed for pipeline operators to identify areas of risk; Generate the basis of an operational service that the pipeline industry could rely on to monitor ground surface and vegetative changes. Data Model - Under this project, a data model system for managers of critical infrastructure to select the appropriate remote sensing data and tools for monitoring and ensuring integrity of the system was created. The model consists of multiple layers which provides benefits for scalability, high availability, easy access, and easy integration into Tech Report applications. The model uses existing literature on data integration, analytics, satellite imagery, visualization, geophysical data, geospatial data, infrastructure hazard monitoring and mitigation, DSSs and Tech Reports.
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