Oil & Gas Company

Reduced environmental impact and operational costs.

Operations

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Energy & Utilities

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Computer Vision

Project Overview

AI-powered system for monitoring and reducing gas flaring with real-time analytics.

Layman's Explanation

The AI system uses smart cameras and machine learning to track gas flares, analyze emissions, and predict when issues might arise, helping reduce environmental harm and improve efficiency.

Analogy

Like an air traffic control system tracking every aircraft’s path to avoid accidents, this AI tracks gas flares to prevent excess emissions.

Details

Proactive flare-monitoring using AI models trained on thermal radiation data. It improved emission measurement accuracy by 98%, minimized flaring, and saved €5M annually while reducing environmental impact.

Project Novelty

Flare-monitoring with AI offers a highly innovative environmental solution.

Project Estimates

Timeline:

8 months

Cost:

$750,000

Headcount:

10

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