Top Methane Detection Companies and Services

Methane can be detected with optical gas imaging cameras, long-wave infrared sensors, point gas detectors, aerial sensors, and continuous monitoring systems. Well Checked Systems uses the Zensory.ai™ platform, combining long-wave infrared optical gas imaging, video analytics, acoustic abnormal-sound detection, and edge AI to identify system-validated methane anomalies while helping filter normal process emissions.

Continuous methane detection monitors sites day and night instead of relying only on periodic LDAR inspections. Zensory.ai™ learns each site's normal operating baseline, validates not-normal events, and routes alerts through the Well Checked Dashboard, email, text, and SCADA. Zentinal IQ™ can then quantify event duration and methane volume for compliance and ESG reporting.

Well Checked Systems helps operators support LDAR compliance with continuous records, validated event logs, quantified emissions data, and response documentation. The platform is structured to support EPA methane rule submissions where alternative-monitoring pathways are recognized by the applicable state SIP or FIP, and it can also support state-agency inventories and ESG reporting frameworks.

Traditional quarterly LDAR inspections provide only periodic snapshots, leaving operators blind between visits. Continuous monitoring captures emissions activity as it happens, helps teams respond faster, and creates a more complete record of fugitive and process events. This approach is especially valuable for operators facing EPA methane rule exposure and investor-driven ESG disclosure expectations.

Well Checked Systems supports upstream oil and gas operators across major US onshore producing regions, including the Appalachian Basin, Permian Basin, Anadarko Basin, Bakken, Eagle Ford, Denver-Julesburg, and San Juan Basin, as well as other US continental onshore producing regions.

Well Checked Systems reduces false alarms by using AI-trained site baselines, typically established during an approximately two-day learning cycle per site. Zentinal Core™ differentiates normal process activity from fugitive anomalies before alerts are issued. This helps operators avoid alert fatigue and prioritize field response using system-validated methane or equipment anomalies.

Zentinal IQ™ quantifies validated events by duration, rate, and methane volume, creating defensible records for EPA, state-agency, OGMP 2.0, SASB, and internal ESG reporting requirements. The platform is also aligned with measurement-based methane reporting frameworks and is designed to support operator reporting under applicable EPA pathways when an approved method and monitoring plan apply.

A pilot program typically includes deployment of the Zensory.ai™ stack on a defined set of sites, an AI Site Learning period, event logging, emissions quantification, false-alarm analysis, and a proof-of-value report. The output compares monitoring results against current pumper-route costs, methane losses, regulatory exposure, safety risks, and full-fleet rollout potential.