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Augment reliability of gas pipelines with AI models

Overview

AI models offer gas utilities a cost-effective approach to mitigate operational as well as compliance risks by augmenting reliability and safeguarding integrity of underground pipeline networks.

Infosys Utilities streamlines gas pipeline integrity management and corrosion risk management by leveraging cognitive technologies. Our solutions enable operators with extensive distribution networks to ensure uninterrupted supply of natural gas, biomethane, synthetic methane, propane, or butane to residential, commercial and industrial customers.

Infosys combines generative artificial intelligence (GenAI), deep learning and predictive analytics to drive asset integrity, predictive maintenance, and risk management strategies. We train machine learning (ML) models to analyze data streams from smart pressure and flow sensors, IoT-based acoustic / vibration / temperature sensing platforms, and in-line inspection devices. This facilitates corrosion mapping, leak detection and quantification.

Significantly, our AI solutions identify events that precede pipeline incidents or public safety issues. The insights boost emergency preparedness, and programs to prevent infrastructure damage or environmental risk.

Infosys capabilities:

AI tools to prioritize retrofitting of critical aging infrastructure based on reliability and cost benchmarks

Automated solutions for real-time surveillance of distribution lines, protective coating, insulation, and compressor stations

Expertise in safety standards and global regulations for design, construction, operations, and maintenance of facilities for transportation and storage of natural gas and similar products

Our gas pipeline integrity systems turn sensors, inspection, and maintenance data into insights that improve safety and reduce unplanned downtime.

Talk to our experts

Strengthen Pipeline Integrity with AI-Powered Risk Intelligence

  • Synthetic data generation helps harmonize inconsistent asset datasets, fill gaps in historical data, and identify patterns in incomplete inspection logs.
  • Integrated dashboard supports distribution network monitoring, pipeline integrity assessment, leak detection and quantification, and risk mitigation.
  • Real-time alerts and geolocation tagging facilitate pipeline integrity assurance planning and decision making for proactive action.
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Challenges & Solutions

A data-driven ecosystem enables accurate defect forecasting and detection, which supports automated interventions across the risk spectrum.

Predictive solutions for anomaly detection and asset maintenance minimize crises, which improves inventory and crew management.

Deep learning systems predict corrosion growth rate using historical asset data and inspection reports, and identify sections vulnerable to leakage.

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