Oil and Gas Monitoring Software

Oil and gas monitoring software centralizes data from wellsite sensors, cameras, control systems, and alert workflows so operators can oversee remote assets continuously. Well Checked’s Zensory.ai™ platform combines visual, acoustic, and optical gas imaging data to detect operational anomalies and potential emissions events. It helps teams prioritize verified issues, document activity, and manage response without relying solely on scheduled field visits.

Remote wellsite monitoring uses connected sensors, cameras, edge computing, and software to observe equipment and site conditions around the clock. Zensory.ai™ processes sensor data onsite, enabling continued operation even when communications are limited. When the platform identifies a meaningful event, it can send alerts through the Well Checked Dashboard, email, text, or integrated SCADA workflows for operator review and dispatch.

Yes. The platform uses Long-Wave Infrared optical gas imaging alongside AI-assisted event validation to detect methane and VOC emissions. Multi-sensor analysis helps distinguish fugitive emissions from expected process conditions, which reduces unnecessary alerts. Once an event is validated, Zentinal IQ™ can support quantification and create structured records that operators may use for emissions tracking and reporting workflows.

Yes. Well Checked provides SCADA integration services that bring monitoring alerts, emissions data, and operational insights into established control-room workflows. This allows designated teams to receive and manage notifications within familiar systems while retaining dashboard visibility. Integration planning considers existing communication paths, alert recipients, escalation rules, and the specific data needed for operational decisions or compliance documentation.

Well Checked supports an acknowledge-dispatch-mitigate workflow designed for response within 24 hours after Zentinal Core™ validates a fugitive gas event. Designated dispatch teams receive near-real-time notifications through the dashboard, email, text, or SCADA. Response-workflow templates, runbooks, and escalation rules help teams assign ownership quickly, document actions, and reduce delays that can increase operational or regulatory exposure.

Zensory.ai™ uses a multi-sensor approach and a site-learning cycle of approximately two days to establish expected conditions at each location. Zentinal Core™ evaluates video, acoustic, and gas-imaging signals to filter known non-fugitive process events and identify meaningful anomalies. Per-site sensitivity settings and escalation rules can also be refined over time to limit alert fatigue while preserving awareness of credible risks.

The platform’s emissions data is structured to support EPA methane-rule alternative-monitoring compliance submissions under 40 CFR Part 60 Subpart OOOOb. It is also aligned with OGMP 2.0 Level 4/5 measurement-based methane reporting and organized for SASB Oil & Gas E&P and TCFD ESG disclosure workflows. Operators remain responsible for their own reporting decisions and submissions.

Yes. A pilot program is available for remote oil and gas wellsite monitoring and methane leak detection services. A pilot allows an operator to evaluate sensor coverage, site-learning performance, alert quality, dashboard workflows, and integration needs before a broader deployment. It is a practical way to establish operating baselines and confirm how autonomous monitoring fits existing field and control-room processes.