What does the Oil and Gas Industry need?
As one of the leading industries in today’s economy, Oil and gas play a pivotal role in the energy market due to being a global fuel source. The processes and systems involved in the production or distribution of oil & gas are highly complex, requiring state-of-the-art technology. As of now the industry is thriving as is, but to stay relevant in the coming technology driven era, the industry may have to employ the relevant technology in computer vision. Computer vision is a key technology of artificial intelligence that can bring in significant potential for growth and development. Traditional, manual labor-based processes can be replaced to create additional value with AI technology.
How Computer Vision Applications Can Help the Oil & Gas Industry
Oil and gas fields can benefit from automated maintenance reports with the usage of cameras that can monitor the fields in real-time. Machine learning based smart technology and automation will assist in the process of keeping tabs on the status of load pumps, which can help improve oil and gas output. Computer vision technology, when retrofitted with high-performance computers and sensors can drive forward the digital transformation of the oil & gas sector by facilitating the extraction of high value data and insights from the core areas where collection takes place.
There are additionally a myriad number of ways that AI can help Oil & Gas harvest, and Prisma AI is also playing an active role in innovating to develop advanced solutions that can be of assistance:
computer vision algorithms can be trained for the detection of safety gear such as helmets, vests, ear protection, etc. and whether it is worn by employees in dangerous areas.
Computer vision for Wireline Spooling Predictions:
an advanced solution that can accurately measure the adequate amount of wire spool needed at any point and detect any anomalies in the same to prevent disasters.
helps in identifying defects such as corrosion or any kind of leaks in the early stages of the oil or gas harvesting process, through machine-generated inspections.
Red Zone Monitoring:
Monitoring the red or danger zones in any area of operation and sending real-time safety alerts for any safety threats.
Computer vision can be employed to automate the inspection of vehicles used in the oil and gas industry, such as trucks, tankers, or heavy machinery. By analyzing images or video footage, the system can check for damage, leaks, or improper loading, improving efficiency and reducing the risk of accidents.
Oil and Gas Production Tracking:
Computer vision systems can continuously monitor operations in real-time, capturing video feeds and analyzing them for anomalies or deviations from normal conditions. This can help identify potential issues early on, such as equipment malfunctions or leaks, allowing for prompt action and minimizing downtime.
sensors equipped with smoke detection algorithms can detect any smoke or smoke-based incidents occurring in and around the fields and report them before any catastrophic events occur.
a top-down view of the entire oil or gas field can help in better analytical surveillance of what is happening in a field, which is also more useful in offshore fields as drone cameras will be more economical to set up and maintain.
Many other such potential applications are making their way to the forefront of technological innovations as more industries are accepting artificial intelligence as the solution to problems face by them.
Future growth of Oil & Gas with AI
As of today, the potential of Visual AI-based solutions has only been scratched at the surface. As a new era of AI-driven applications approaches, most oil and gas companies can also aim to build and operate their own custom computer vision systems. More advanced systems will be available to help optimize core processes, and further bolster production.
Newer applications for computer vision in the oil and gas industry will come to light to improve safety, quality, and operational efficiency. Prisma AI is working towards the development of more state-of-the-art solutions that can improve the functioning of the oil & gas industry.