Computer Vision in Oil and Gas

Roboflow reads the fixed cameras, thermal and OGI cameras, drones, and aerial imagery you already have, watches the flares, the gauges, the tanks, the rights-of-way, and the people, and turns the field into data, in real time and at remote-site scale.

Wellsites, Flares, and Emissions:

• Monitor flare state, smoking, pilot-out, and abnormal combustion from existing cameras, so a smoking flare is an alert in minutes rather than a complaint from the neighbors
• Read analog gauges, level indicators, and valve positions on cameras at unmanned sites, so the pumper's route is driven by exceptions rather than by the calendar
• Detect liquid spills, sheens, and leaks at pads, containments, and load-out points, and pair with OGI and thermal cameras for methane and hydrocarbon plume detection under EPA OOOOb monitoring programs

Pipelines, Tanks, and Integrity:

• Detect excavators, drilling rigs, and unauthorized activity on pipeline rights-of-way from aerial, drone, and fixed imagery, so a third-party strike is prevented rather than reported
• Monitor tank farms for external floating roof condition, level anomalies, containment integrity, and overfill events, with imagery behind every alarm
• Detect corrosion, coating failure, and staining on piping, vessels, and structures from drone and walkdown imagery, feeding integrity programs under API 570, 653, and 510

Safety, People, and Systems Integration:

• Verify PPE and flame-resistant clothing at site access, detect people in exclusion zones around wellheads, cranes, and live flanges, and monitor lone workers at remote sites
• Verify permit-to-work conditions on camera, attendants at confined spaces, barriers at hot work, and vehicle positioning at load-out, supporting OSHA and process safety programs
• Push detections and events into SCADA, historians, and control rooms through standard protocols, so a vision alert lands in the same alarm list the operators already watch

Bring intelligence to every site today.

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More About Computer Vision in Oil and Gas

What is computer vision in oil and gas?

Computer vision in oil and gas uses the cameras the industry already deploys, fixed site cameras, thermal and optical gas imaging cameras, drones, and aerial and satellite imagery, with deep-learning models trained for field conditions to monitor what operators care about: flare state and combustion quality, analog gauges and valve positions at unmanned sites, spills and leaks, right-of-way encroachment, tank and containment condition, corrosion and integrity indicators, and people and PPE around hazardous work. Detections flow into SCADA, historians, and control room alarm systems, so vision becomes another instrument on the site rather than another screen to watch. Learn more about corrosion detection for integrity findings, PPE detection and safety zone monitoring for people around hazards, and predictive maintenance for equipment condition.

Does this work at remote, unmanned sites with poor connectivity?

Yes. Inference runs at the edge on a small industrial computer at the site, on solar-and-battery power budgets where needed, so detection does not depend on a backhaul: the model watches locally, and only events, readings, and their images travel over the satellite, cellular, or radio link the site has. A gauge reading is a few bytes; a flare alert carries one frame. Cameras and enclosures are chosen for the environment, Class I Division 2 rated where classification requires it, heated housings for winter, and models are trained on your sites' actual footage, so heat shimmer over a pad in August and a snow-covered wellhead in January are training data rather than false alarms. When the link is down, events queue and sync when it returns.

Can it integrate with our SCADA, historians, and control room?

Yes. Roboflow Inference (opens in a new tab) runs at the edge on site and exposes a standard API and the protocols operations already use, so vision events land in the systems operators already watch: SCADA platforms from Emerson, Honeywell, ABB, and AVEVA, historians like AVEVA PI, alarm management and control room displays, CMMS and integrity systems like SAP PM and IBM Maximo, pipeline control and leak detection systems, and field data capture tools, through REST, MQTT, OPC UA, Modbus, discrete I/O, and direct database writes. A smoking flare becomes an alarm with a frame attached, a gauge reading becomes a historian tag, an encroachment becomes a one-call ticket with coordinates, and every event carries site, asset, timestamp, class, reading or measurement, and imagery, with a full record behind every alarm and every report.

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