Project Canary

A gas utility can meet every survey schedule and still struggle to show which indications mattered and what happened to them. Compliance requirements for gas distribution have been in motion since 2020. The federal leak detection and repair (LDAR) rulemak

Internal systems manage the work. Methane intelligence helps utilities decide which work to prioritize. Gas utilities manage leak detection and repair through internal systems built for a broader purpose. Geographic information systems map the network. Wo

The next challenge is turning methane information into operational action, defensible decisions, and system-wide value Methane detection has improved significantly in recent years. Gas utilities have more ways to identify potential leaks across their dist

Based on controlled release testing at three facilities spanning distinct geographic regions, covering release rates from 0.2 to 120 scfh and distances up to 200 feet from buried pipeline infrastructure. For natural gas utilities, the question is no longe

Natural gas utilities have always surveyed their distribution networks for leaks. For most of the industry's history, that meant walking crews with handheld instruments - effective but slow and labor-intensive at scale. AMLD changes that equation. Vehicle

For leak detection contractors working in dense urban environments, the gap between detection and confirmation is where programs break down. Mobile surveys flag indications. Field teams go investigate. And too often, they come back empty-handed - burning

The Incomplete View Methane management has reached an inflection point. Over the past few years, we've seen the industry invest heavily in measurement. Continuous monitors and flyovers are deployed, data is flowing, and emissions performance is being trac

Based on one of the largest site-level continuous methane monitoring datasets - 24.7 million 15-minute measurements across 940 upstream facilities in seven U.S. basins - analyzed using a consistent event-detection approach. DENVER / PR Newswire / February

This is a short set of predictions about where AI adoption could go next year. I'm sharing it because most teams are still planning around capabilities, while the real bottlenecks are starting to show up elsewhere. I think 2026 is the year AI collides wit

Most "lost profit" stories in methane seem impressive. Big leak, big number, big ROI slide. The math is straightforward. Estimate a leak rate, assume it lasted for weeks or months, multiply by the gas price, and you get a substantial dollar amount. That a