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Pipe Genie: Multi-sensor Analytics for Difficult-to-Inspect Pipelines

Customer: Fortune 100 Corp, Global footprint of pipelines

XaaSLabs harnesses computer vision, pattern recognition, and cognitive analytics to enable businesses to illuminate underutilized data sources —image, magnetometric, acoustic, x-ray, audio, and video files; machine and sensor information produced by survey platforms like drones and real-time monitoring sensors — to derive insights process improvements that can lower costs and improve and decision-making across the oil and gas industry.

XaaSLabs improves oil and gas data analytics, boosting worker performance, automating complex jobs, and creating "cognitive agents" that mimic human interaction and reasoning

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Customer: Fortune 100 Corp, Global footprint of pipelines

Customer Pain Point: Difficult to Inspect Pipelines, Poor Inspection Reliability, Highly Manual, Ad hoc and inefficient workflows

Inspection Modality:  ILI, Magnetic, Acoustic, Pressure
Diff, Temperature, Visual, Satellite

Inspection Robot: Indoor Drone, Crawler

Deployment Modality: Offline Assistance
Status:

 

  • Deployed (Offline Screening Mode)

  • System currently being deployed and scaled globally

Key Results: Post-inspection Data Analysis time saved from multiple weeks to < 2 days

Pipe Genie: Fortune 100 Corp, Global footprint of pipelines

Fusing Multiple Sensor Streams for Improved Inference

Inspection Modality:  ILI, Magnetic, Acoustic, Pressure


Use
Cases: Integrity
Assessment 
Inspection Planning • Enhanced Leak detection (to augment existing Leak detection systems)

 

Key Capabilities:
• Visualization
• Flaw Identification
• Flaw Sizing
• Workflow Automation 
Real-time Acquisition Assistance

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