60% cost optimization using AI to enable preventive maintenance for a multinational oil and gas company

INDUSTRY

Retail

INDUSTRY

Retail

Key Outcomes

70% Effort reduction

for manual inspection

60% Optimization

of cloud computation cost.

Reduced HSE incidents

and minimized environmental hazards.

Reduced downtime

across thousands of miles of pipelines.

Overview

A large global oil and gas company set a target to prevent leakages due to corrosion and plant downtime to zero by 2030. Manual inspection of pipelines’ integrity for failure signals has limitations:

This multinational oil and gas company is among the world’s largest companies out of any industry. This $381 billion company has over 86,000 employees worldwide and a presence in more than 70 countries.

We developed an AI application to synthesize and process drone images using computer vision to detect, classify, and provide early warning triggers for pipeline corrosion, and asset health driving preventive maintenance.

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