Acoustic Anomaly Detection for Oil & Gas

Acoustic anomaly detection uses sensors and AI to listen for sound patterns associated with abnormal equipment behavior or pressurized gas release. The system establishes a baseline of normal site sounds, then flags deviations for review. At Well Checked sites, acoustic intelligence can be paired with video and optical gas imaging, providing additional context that helps distinguish a meaningful anomaly from routine operations.

Acoustic monitoring can identify abnormal sound signatures that may indicate a leak or equipment issue, but it does not directly measure methane concentration. Well Checked combines acoustic sensing with Long-Wave Infrared optical gas imaging, video, and AI-assisted event validation. This multi-sensor approach helps operators investigate suspected fugitive emissions with stronger context and fewer false alarms than a single-sensor workflow.

Acoustic anomaly detection is well suited to equipment with recognizable operating sound profiles, including compressors and other oil and gas facility equipment. The underlying algorithm was originally developed for compressors and has been extended to other equipment. Each monitored site undergoes an AI learning cycle so the platform can recognize normal operating patterns and identify material deviations.

Zensory.ai™ uses an approximately two-day AI Site Learning cycle per site to establish a baseline for normal process activity, equipment noise, and recurring conditions. This baseline helps the system discern expected operations from abnormal events. As site conditions change, alert tuning can refine sensitivity, suppress known non-fugitive activity, and maintain useful escalation rules for operators.

Once Zentinal Core™ validates a fugitive gas event, alerts can be delivered through the Well Checked Dashboard, email, text, and existing SCADA workflows. Operators can use tailored response templates and dispatch runbooks to acknowledge the alert, assign field resources, and document mitigation. Routing and escalation rules can be tuned to match each operator’s internal response structure.

Yes. Continuous methane and VOC monitoring, event validation, and quantification can support LDAR programs, emissions tracking, and reporting workflows. Well Checked structures data to support EPA methane rule alternative-monitoring compliance submissions under 40 CFR Part 60 Subpart OOOOb, as well as OGMP 2.0 Level 4/5 measurement-based reporting and relevant ESG disclosure frameworks.

Yes. The platform is designed for remote upstream wellsites and uses onsite edge computing that can operate independently of communications. This helps preserve continuous local monitoring capability where connectivity is limited or intermittent. Remote teams receive operational awareness and alerts through configured channels, allowing them to prioritize field dispatches rather than rely solely on routine inspection routes.

Well Checked offers monitoring solutions across U.S. continental onshore upstream producing regions. Confirmed and available areas include the Appalachian, Permian, Anadarko, Bakken, Eagle Ford, Denver-Julesburg, and San Juan basins. Deployment planning considers asset type, site conditions, connectivity, response workflows, and the monitoring objectives of the operator’s broader portfolio.