Data Insights for Pipeline Ranking System

Sparkle
Predictive Analytics
Utilities

Data Insights for Pipeline Ranking System

Client's Challenge

  • Fluxys Belgium, operating in the natural gas infrastructure and transportation sector, manages the integrity of 450,000 underground pipeline segments.
  • They are responsible for 4,000 kilometers of pipelines, a large LNG terminal, and an underground storage facility
  • Fluxys applies a Pipeline Integrity Management System (PIMS) focusing on prevention, detection of potential hazards, and remedial measures.
  • Despite having a lot of data, Fluxys struggled to gain actionable insights from it.

Our Solution

  • We leveraged our data science and AI expertise to enhance Fluxys's inspection operations.
  • Developed a comprehensive ranking system to assess the integrity risks of all 450,000 gas pipeline segments.
  • Our system predicts which pipelines are more likely to need control and inspection.
  • Factors considered include external corrosion, mechanical damage, manufacturing defects, and construction issues.

Impact created

  • Fluxys now has a transparent ranking system highlighting inspection priorities for daily pipeline operations.
  • Significantly boosted inspection efficiency, ensuring safer and more reliable gas transportation.

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Bussiness developer Cronos.AI