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

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 pipeline​s.
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:

Challenges

  • Time-consuming
  • Less responsive
  • Error-prone
  • Non-scalable

Value Delivered

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.

Capabilities

ML/AI

Data Science

App Development

Data & Analytics

About Client

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.

Case studies

Life Sciences & Healthcare

95% Productivity Boost Accelerating Time-to-Market and Driving Seamless Engagement Across Product Lifecycle

Chemicals

175% increase in user adoption with advanced analytics and workflow automation in a proprietary procurement platform

Let us know your goals. We'll help you get there faster.

Let us know your goals. We'll help you get there faster.