A Fortune 500 oilfield services provider partnered with Zemoso Labs to tackle a critical challenge: how to track methane emissions quickly and at scale during oil and gas production. Traditional inspections were slow, manual, and couldn’t deliver real-time visibility. With net-zero targets looming, delays were costly. Together, we built an aerial monitoring solution powered by drones and a cloud-native analytics platform. Today, the system detects leaks in real time, pinpoints their location, and generates alerts and reports that operators can act on immediately.
Methane is over 80 times more potent than CO₂ in the short term, and oil and gas production is responsible for about 40% of global emissions. The industry has long relied on ground patrols, handheld devices, and periodic surveys—methods that are labor-intensive and prone to delays. Every extra hour before a leak is detected increases safety risks, regulatory exposure, and reputational damage. Companies are under pressure to move fast, and aerial monitoring with drones has become a critical part of that shift.
The client already had a system in place for monitoring oil leaks, but it was clear the architecture wasn’t suited for methane detection. What they needed was a complete pivot—turning a legacy inspection tool into a system capable of handling drone-based data, computer vision, and real-time alerts.
The challenge went beyond technology: we had to design workflows for multiple roles, from super admins setting up asset hierarchies to emissions engineers reviewing alerts and sending reports to stakeholders. Getting all of these pieces to work together at scale meant rebuilding both the backend and the user experience.
Our clients love what we do:
We co-created a platform that brings together drone-based sensing, deep learning–powered computer vision, and geospatial rendering into a single, resilient microservices platform. By replacing manual inspections with this real-time system, the client now has the scale and accuracy to meet emissions targets while staying ahead of regulatory pressure.
At its core, the platform combines edge detection, cloud-native processing, and geospatial rendering into one seamless workflow.
Behind the scenes, several engineering breakthroughs made this possible:
Zemoso Labs worked with the client to reimagine methane monitoring, turning drone imagery into fast, actionable data. What once required slow manual surveys is now a live, automated system that helps one of the world’s largest energy providers cut emissions, improve safety, and take concrete steps toward its net-zero future.