Methane Emissions Detection

Well Checked's Zensory.ai™ platform uses a site-specific AI learning cycle of approximately 2 days to establish a normal operational baseline. By understanding routine process emissions and equipment behavior, the system distinguishes system-validated fugitive anomalies from normal activity, helping reduce false alarms and prioritize higher-confidence events for operator review.

The Zensory.ai™ platform uses multi-sensor fusion combining high-resolution video cameras with AI object detection, Long-Wave Infrared (LWIR) Optical Gas Imaging (OGI) for continuous methane detection day or night, and acoustic anomaly AI for abnormal sound detection. This three-modality approach — video, infrared, and acoustic — provides comprehensive wellsite coverage.

Yes. Zentinal IQ™ generates documented emissions quantification data structured to support operator reporting under EPA Subpart OOOOb where an approved alternative method and monitoring plan apply, OGMP 2.0 Level 4/5 measurement-based reporting, SASB Oil & Gas E&P ESG disclosures. Operator-configured reporting logs and state-agency inventory-supporting formats are included, with data structured to support regulatory submission.

Traditional LDAR programs rely on expensive quarterly manual inspections that provide only periodic snapshots. Continuous monitoring with Zentinal Core™ detects fugitive emissions 24/7, generates complete event records, and enables acknowledge-dispatch-mitigate response within 24 hours. This can reduce a portion of route-based site-visit costs while producing more complete event records; actual savings depend on site count, operating practices, and retained inspection obligations.

Yes. The Zensory.ai™ platform uses onsite edge computing with independent local data processing and storage. It is designed to continue local processing and storage during communications interruptions, then synchronize data when connectivity returns. Availability and performance depend on the site configuration, power, communications, maintenance, and operating conditions.

The platform operates as a three-tier architecture. Zentinal Ops™ delivers visual and acoustic equipment intelligence through high-resolution video, object recognition, and acoustic anomaly detection. Zentinal Core™ is the multi-sensor detection and discernment layer — full-spectrum video, audio, and IR monitoring with AI-driven false-alarm-elimination intelligence — that identifies fugitive emission events and reduces false alarms, supporting OGMP 2.0 Level 3. Zentinal IQ™ activates only after Core validates an event, providing high-accuracy methane quantification, emissions intelligence, and regulatory-ready reporting designed to support operator EPA, ESG, and state-agency reporting workflows, subject to applicable approvals and review.