Energy & Chemicals

Improve safety and operations using Computer Vision for a world leader in oilfield operations, delivering over 99% accuracy in key use cases

Key Challenges
A global leader in energy wanted to improve oilfield operations while minimizing environmental impact. Their objectives included monitoring leaks and spills, find out status of critical infrastructures to meet regulations, and prevent catastrophic failures. The company wanted to achieve these objectives by implementing a non-obtrusive and easy-to-implement product with minimal operational interruptions.
Our Products in Action
Our ML-based product enabled the client to obtain real-time confirmation of latch status, reducing the need for human spotters, thereby increasing safety. They could now track and measure stickup height in real-time with minimal loss of operations. The product also helped in identifying floating tanks that needed repairs as well as measure tank volume and distance using drone footage, while providing frequent monitoring with high accuracy and consistency which was humanly impossible. In addition, the client was able to detect and pinpoint the source of methane leaks, providing quick and accurate information for immediate response.
Business Impact
99.7%
accuracy achieved by automating detection of fingerboard latch status
99.8%
accuracy in detecting stickup height
Tag, Track and Locate (TTL) of assets on the fly with segmentation and annotation along with edge processing with any IP camera feed
99.7%
accuracy achieved by automating detection of fingerboard latch status
99.8%
accuracy in detecting stickup height
Tag, Track and Locate (TTL) of assets on the fly with segmentation and annotation along with edge processing with any IP camera feed