Oil and gas is one of the most dangerous industries to work in, and the reasons haven't really changed. Heavy machinery in tight spaces. Remote sites with long drives. Multiple contractors operating on top of each other. Long shifts, fatigue, complex equipment, and the constant background risk of working around volatile hydrocarbons. Safety protocols have improved over the decades, but the fundamental risk profile is what it is.
What has changed in the last few years is the toolkit available to safety teams in this industry. AI video analytics on existing CCTV is starting to do real work in the places traditional safety processes can't easily reach. Securade.ai HUB is one of the platforms in this space, built specifically for high-risk industries like construction, manufacturing, and oil and gas. Below are five of the persistent safety challenges in oil and gas, with notes on how AI video analytics is helping.
Challenge 1: spotting hazards before they bite
Oil and gas sites are complex environments where hazards aren't always obvious. A McKinsey report on hazard sensitivity makes the case that the industry has historically relied on after-the-fact analysis and that better tools (they highlight VR-based hazard training) can dramatically improve how quickly and accurately people spot risk in the moment.
AI video on the cameras you already have addresses the same problem from a different angle. The model watches continuously and flags the visual signs of risk: someone in an exclusion zone, missing PPE near a hot work area, a leak forming on a piece of equipment. Real-time, around the clock, across every camera. Workers and supervisors get the alert in seconds rather than discovering the issue at the next walk-through.
Challenge 2: the labour shortage problem
Oil and gas has an ageing workforce, a thinning pipeline of new entrants, and the lingering effects of the pandemic that pushed a lot of experienced people out of the industry. EY's analysis of the issue is direct: institutional knowledge is leaving faster than it's being replaced, and the safety implications are real. New hires don't have the years of pattern recognition that catches the small things before they become big things.
AI video extends what new hires can do. The model has already seen thousands of incidents and near-misses; the new worker hasn't yet. When the worker is about to make a mistake the model recognises from training data, the system flags it. The worker learns from real-time feedback. The expertise gap closes faster than it would with classroom training alone.
Challenge 3: vehicle and transport incidents
A statistic that surprises people outside the industry: the leading cause of fatalities in oil and gas is highway vehicle incidents, not anything happening at the well site. EHS Today lays out the reasons clearly. Remote well sites mean long drives. Crew rotations involve a lot of transport. Fatigue is a constant factor. The vehicles themselves often aren't the modern, instrumented kind.
HUB approaches this on two fronts. Live monitoring of drivers (fatigue cues, distraction, lane discipline) plus environmental factors (weather, road conditions, traffic). Risk patterns get flagged in real time. The same platform supports training, simulating the kinds of driving scenarios that lead to incidents so drivers see them in a controlled environment before encountering them on the road.
Challenge 4: too many people doing too many things in the same place
A typical oil and gas well site has multiple subcontractors operating in close proximity, often without a great picture of what the other crews are doing. EHS Today calls this "simultaneous operations" and notes that struck-by and caught-between incidents are common in this kind of environment. Tight spaces plus parallel activities plus limited cross-team awareness equals risk.
AI video analytics gives the site supervisor a unified view of who's doing what and where. The model can spot proximity issues across crews (a forklift moving in an area where another crew is working at ground level, for example) and flag them before they become incidents. The same data feeds into post-day reviews where the site team can see how the simultaneous operations actually unfolded and adjust the planning for the next day.
Challenge 5: communication and culture
EHS Today's broader point is that safety in oil and gas is fundamentally a communication problem. Sites change quickly, crews rotate, conditions shift. The teams that stay safe are the ones with strong, repetitive communication of what's happening and what the current risks are. The recommended approach is "double communication": say it verbally, document it in writing, repeat. Belt and braces.
HUB supports this pattern. Live alerts go to the supervisor, who relays them to the crew. The events are also logged automatically, providing the documentation layer without anyone having to type it up. Over time, the documented event history feeds back into training and procedure updates, which closes the loop on safety culture.
Oil and gas isn't going to get less hazardous as an industry, but it can get safer in how it's managed. AI video analytics doesn't replace the fundamentals: training, procedures, leadership, culture. What it does is give the safety team a much sharper picture of what's actually happening on the floor, in real time, around the clock. For an industry where the cost of getting it wrong is so high, that's a meaningful shift.