AI Industrial Solutions for Upstream Oil and Gas Operations

The platform combines high-resolution video, Long-Wave Infrared Optical Gas Imaging, acoustic abnormal-sound detection, and edge AI to continuously evaluate remote wellsites. Zensory.ai™ learns each site’s normal operating baseline, validates abnormal events through Zentinal Core™, and uses Zentinal IQ™ to quantify duration, methane volume, and event characteristics for operational and regulatory use.

Traditional LDAR inspections provide periodic snapshots, often quarterly, which can leave operators unaware of leaks between survey cycles. Well Checked Systems provides continuous monitoring that detects events day or night, distinguishes fugitive emissions from normal process activity, and creates complete records for response workflows, ESG reporting, and EPA or state-agency submissions.

Yes. Zensory.ai™ is designed for remote oilfield conditions using onsite edge computing that can continue operating independently of communications. Hardware is engineered for harsh temperatures, vibration, and atmospheric exposure, while multi-sensor coverage gives operators continuous visibility even across large wellsite portfolios where routine travel is expensive, risky, or inefficient.

Zentinal Core™ detects and validates not-normal events, then focuses alerts on anomalies validated by the system workflow. Operators can receive notifications through the Well Checked Dashboard, email, text, SCADA, or API workflows. Alert tuning can adjust sensitivity, suppress known non-fugitive process events, and refine escalation rules as site baselines evolve.

Zentinal IQ™ structures emissions data for documented use in regulatory workflows, including quantified event duration, volume, rate, compliance logs, trend analysis, and high-resolution event reconstruction. Outputs are designed to support operator reporting under EPA methane-rule pathways when the specific alternative method and monitoring plan are approved, as well as OGMP 2.0 Level 4/5, SASB Oil & Gas E&P reporting frameworks.

A pilot typically deploys the full Zensory.ai™ stack on a defined subset of sites for a fixed period. It includes installation, AI Site Learning of about two days per site, methane detection logs, duration and volume quantification, false-alarm comparison, operational cost analysis, and a scale-up business case for broader fleet rollout.

For mid-sized to large operators, route-based pumper visits can cost an estimated $1M–$5M+ annually, according to Well Checked's operational benchmarking. By enabling operate-by-exception workflows, Well Checked Systems helps dispatch field teams only when validated exceptions occur. That can reduce unproductive travel, vehicle-mile emissions, traffic exposure, adverse-weather risk, and unnecessary routine site checks across distributed assets.

Yes. SCADA integration services connect Zensory.ai™ alerts, equipment indicators, and emissions data into existing control-room environments through a published API. This lets operators manage validated events alongside production and equipment telemetry, while also feeding quantified Zentinal IQ™ data into historian systems for reporting, analysis, and long-term compliance records.