Methane Leak Detection AI

Flag methane and hydrocarbon plumes in optical gas imaging video.

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Methane Leak Detection AI for the Toughest Well Pads, Compressor Stations, and Processing Facilities

Deploy Anywhere, Run Everywhere
Run methane leak detection on fixed and handheld optical gas imaging cameras and drones on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every emissions team can adopt, from LDAR technicians to compliance leaders, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA.

Talk to a Vision AI engineer who's shipped in oil and gas.

Bring us your toughest methane leak detection problem and we'll map a working solution.

Ask us about:

Solution architecture that fits EPA OOOOb and OOOOc, Appendix K, state LDAR rules, and OGMP 2.0 reporting
A live demo on your own OGI survey or fixed camera footage
Deployment options: edge at the site, on-prem, air-gapped, VPC, drone-mounted, or on fixed OGI cameras
ROI modeling against lost gas, repair response time, survey hours, and emissions reporting exposure

Over 16,000 organizations build with Roboflow.

Rivian
Pella
Chobani
USG Corporation
BNSF Railway
American Woodmark

Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

Automotive customer
$10 million
Saved by automatically detecting defects on the production line
Logistics & freight company
90%
Less time spent manually tracking shipping inventory
Building materials supplier
60%
Lower customer return rate with improved product quality

Find and Fix Leaks Faster, from the Well Pad to the Processing Plant

Bring real-time intelligence to every optical gas imaging camera with Roboflow Vision AI for methane leak detection. Built for producers and midstream operators where methane is invisible to the eye and to ordinary cameras, where OGI surveys generate hours of video to review, and where a leak found weeks late is lost gas and a reporting problem.

Find plumes in OGI video:

Detect gas plumes in video from optical gas imaging cameras, with a model trained on your own survey footage, sites, and weather.
Separate a real plume from heat shimmer, steam, exhaust, and moving equipment, which cause most false alarms in OGI review.
Run continuously on fixed OGI cameras so a leak is flagged within minutes instead of at the next survey.

Locate the source:

Tie each plume to the component it comes from, such as a valve, flange, connector, compressor seal, or tank thief hatch.
Flag vent and tank emissions from hatches left open or seals that failed.
Watch flares and combustors for visible smoke and unlit conditions, alongside flare monitoring.

Record, repair, and report:

Log every detection with a clip, site, component, and timestamp for the LDAR record.
Send repair tasks with the clip attached so technicians go straight to the leaking component.
Keep the evidence trail for repair verification surveys and emissions reporting.

Bring intelligence to every OGI camera today. Stop invisible leaks from becoming lost gas, late repairs, and reporting gaps.

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Frequently asked questions

What is methane leak detection with Vision AI?

Methane leak detection with Vision AI uses optical gas imaging video from fixed, handheld, or drone cameras and a trained computer vision model (opens in a new tab) to flag gas plumes, separate them from heat shimmer and steam, and locate the leaking component. Each detection is logged with a clip for LDAR records. It is part of computer vision in oil and gas, alongside flare monitoring, leak and spill detection, and tank inspection.

Does methane leak detection support EPA OOOOb, OOOOc, and Appendix K?

Methane leak detection supports LDAR programs under EPA 40 CFR Part 60 Subpart OOOOb and Subpart OOOOc (US methane standards for new and existing oil and natural gas sources) and surveys performed under Appendix K (the EPA procedure for optical gas imaging surveys), and it provides records that support OGMP 2.0 (the UN Environment Programme's Oil and Gas Methane Partnership reporting framework).

Roboflow serves as the detection engine alongside your certified OGI operators and approved monitoring methods, and your environmental and compliance teams own survey procedures, repair timelines, and reporting.

Can it integrate with our LDAR software, SCADA, and work management?

Yes. Roboflow sends detections, clips, and locations over REST (opens in a new tab) or MQTT, or writes them to a database, so they feed LDAR and emissions platforms, SCADA systems such as Ignition and AVEVA, and work management systems such as SAP PM and IBM Maximo. Fixed camera alerts can also go to a control room screen for immediate response.

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Methane Leak Detection AI