Equipment Monitoring Systems for Oil and Gas Operations

Equipment monitoring in oil and gas uses sensors, cameras, analytics, and alerting workflows to continuously observe remote production assets. Well Checked Systems applies video, long-wave infrared optical gas imaging, acoustic abnormal-sound detection, and edge AI through Zensory.ai™ to identify not-normal events, validate fugitive emissions, and alert operators without relying solely on routine pumper-route visits.

Remote monitoring reduces cost by replacing routine site checks with operate-by-exception workflows. Instead of dispatching pumpers to every site on a fixed route, operators receive validated alerts when equipment, emissions, or site conditions require attention. For mid-sized to large operators, this can address annual route-based site-visit costs that may reach $1M–$5M+, based on Well Checked's operational benchmarking.

Yes. Zensory.ai™ supports continuous methane leak detection using long-wave infrared optical gas imaging, AI-trained site baselines, and event validation. Zentinal Core™ identifies system-validated fugitive anomalies, while Zentinal IQ™ can quantify duration, volume, and rate for validated events. This provides a more complete record than periodic quarterly LDAR inspections alone.

False alarms are reduced through an AI Site Learning cycle that establishes each site’s normal operating baseline in approximately two days. The platform distinguishes normal process emissions from fugitive events and can suppress known non-fugitive activity. Alert tuning and escalation rules are refined over time to reduce operator fatigue while maintaining event sensitivity.

Yes. SCADA integration is available through published API connectivity, allowing validated fugitive-event alerts, equipment indicators, and emissions data to flow into existing control-room workflows. Operators can still use the Well Checked Dashboard, email, and text alerts, while SCADA integration provides a single operational view for teams managing centralized production assets.

After Zentinal Core™ validates a not-normal event, designated operator teams can receive near-real-time alerts through the dashboard, email, text, and SCADA. Well Checked Systems provides response templates, dispatch runbooks, and incident-management workflow support so teams can acknowledge, dispatch, and mitigate within a 24-hour response window where applicable.

Deployment begins with a site survey, hardware installation, connectivity setup, sensor calibration, and dashboard onboarding. The AI Site Learning cycle typically takes about two days per site to establish normal operating behavior. Multi-site rollout timelines depend on site count, access, power, communications, and integration requirements, with volume deployments supported by experienced installation crews.

Zentinal IQ™ converts validated emissions events into duration, volume, rate, trend, and event reconstruction data. Outputs can support EPA methane rule submissions, state-agency reporting, OGMP 2.0 Level 4/5 measurement-based frameworks, and SASB ESG disclosure source data. The goal is defensible reporting based on continuous monitoring rather than periodic snapshots.