Extraordinary Uses of Artificial Intelligence in the Oil and Gas Industry
Why Should Operations Use AI to Become More Efficient and Safer?

The rising prices of the supply chain, a scarcity of skilled workers and personnel to monitor output, and the increasing amount of pressure to become more environmentally responsible are all factors that are driving an ever-increasing need for remote monitoring of oil and gas production facilities.

Monitoring oil and gas production manually at remote installations is an extremely expensive endeavour. It is possible that the day fee for two persons to visit an oil well may go as high as $10,000. As a result, several businesses are investigating the possibility of remotely operating and automating monitoring.

In addition to being limited in capability and flexibility, remote monitoring that makes use of older technology, such as sensors, is notoriously unreliable, difficult to install, and expensive to operate.

The use of AI to video technology makes it possible to conduct remote monitoring of a facility's activities that is more dependable, intelligent, and cost-effective. Edge processor cameras with high performance can do complicated video analytics and storing both footage and information directly in the device.

Not only do the following applications demonstrate what is already feasible with AI video analytics in the present day, but each application can also be easily and quickly implemented with the help of AI's IoT platform and Application Store for video cameras.

The examples below illustrate both points.

1. Detection of smoke and open flames

When used for flare monitoring, a camera that is integrated with AI Video Analytics may identify irregularities in the flame, such as black areas caused by soot build-up as well as flame failure.

Why Comply with environmental standards and avoid hefty fines by ensuring that the flaring process is carried out in a clean manner.

  • Quickly identify the presence of smoke to avert potential dangers to individuals, such as fires and drunkenness.
  • AI Video Analytics from the AI Application Store enables video cameras to identify visual anomalies in a manufacturing facility such as smoke and sooty fires. This makes AI flare and smoke detection possible.
  • If a critical event occurs, the system will identify a divergence from the normal condition and then generate an error report about the problem.
  • Even in low-light environments, such as those caused by bad weather or nightfall, AI flare and smoke detection continue to function normally.
2. Liquid leak detection

A video camera equipped with artificial intelligence can identify and report in real-time any leaks in pipelines or tanks.

These are the objectives:

  • Automate the monitoring of pipelines and storage tanks around the clock.
  • Take measures to stop the loss of water, and if oil or chemicals are involved, prevent the pollution of the soil.
  • Decrease the amount of time that the plant is shut down due to repairs and refilling of big reservoirs.

The process of detecting leaks, broken down:

  • Artificial intelligence video analytics enables video cameras to identify visual irregularities in production lines such as trickles and fountains, as well as tiny flaws even before they become leaks in the system.
  • If a critical event occurs, the system will identify a divergence from the normal condition and then generate an error report about the problem.
3. The monitoring of the tank's level

The use of artificial intelligence and thermal imaging to monitor tank levels in places where the naked eye cannot see.

  • Maintaining an accurate monitoring system for the amounts of liquids contained within tanks and other types of containers
  • Find ways to work around the shortcomings of conventional sensors.
  • Prevent potential harm by ensuring there is sufficient liquid present or by not overfilling the container.
  • Using manual measurement and monitoring to cut down on the hazard’s humans face to their health.

The following is an explanation of how tank level monitoring works:

  • Thermal imaging cameras equipped with artificial intelligence detect the liquid level in tanks from the outside.
  • Virtual scales are capable of measuring levels even if they do not have any actual sensors.
  • An alert will be automatically activated if the level of the liquid either climbs above or falls below a predetermined threshold.
4. License plate recognition

The barrier that is located at the entrance to a production plant is controlled by an AI camera that can read licence plates and is downloaded from the AI Application Store.

  • Automate the management of vehicle access at sites that are either unmanned or only partially staffed.
  • Maintain a dependable method for preventing unwanted access while minimising the need for additional personnel.

The following is an explanation of how licence plate recognition works:

  • AI-enabled cameras that have downloaded the licence plate recognition application from the AI Application Store are able to read the licence plates of passing automobiles and trucks.
  • The devices do a direct check of the licence plates to validate the user's authority to visit the building.
  • The opening of the barrier is automatically triggered by the camera for any cars that have been validated as having valid licence plates.
Additional uses of artificial intelligence in the production and transportation of oil and gas
  • Identify acts of damage and sabotage at distant locations
  • Inspection of pipelines using drones equipped with artificial intelligence video technology.
  • Inspecting the employees to check whether they are using personal protective equipment (PPE).
  • Detection of incidents involving humans using artificial intelligence fall detection.

This is only a small sample of what's available. There will be whole new options to combine smart features on the edge with each new camera app that is launched in the AI Application Store. These opportunities will make the oil and gas production and transportation processes even more effective and secure.


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