Artificial intelligence

How AI is Disrupting the Oil & Gas Industry

Artificial intelligence has the potential to increase workplace efficiencies and boost human capabilities. When AI takes over mundane or dangerous duties, it frees up human workers to focus on tasks that require creativity and sensitivity, for example. It is possible that people will be happier and more satisfied at work if they are doing employment that they enjoy.

Artificial intelligence can have a major impact on healthcare by improving monitoring and diagnostic skills. AI can cut operating expenses and save money by improving the operations of healthcare institutions and medical organisations. Al is responsible for disrupting some industries such as the oil and gas industry. In this article, you’ll find all the reasons why. 

What is Artificial Intelligence

Artificial intelligence (AI) is a broad field of computer science that focuses on developing intelligent machines that can accomplish activities that would normally need human intelligence.

The four types of Artificial Intelligence are Reactive Machines, Limited Memory, Mind Theory and Self-Awareness. Some common examples of Artificial Intelligence are self-driving cars, Siri and other clever assistants, Facebook recommendations, etc. 

What does Artificial Intelligence Do

Artificial intelligence (AI) systems learn from patterns and features in the data they study by combining vast sets of data with sophisticated, iterative processing algorithms. 

Each time an AI system performs a round of data processing, it evaluates and assesses its own performance, gaining new knowledge. 

Because AI does not require rest, it may quickly complete hundreds, thousands, or even millions of tasks, learning a tremendous amount in a short period of time and becoming exceedingly capable at whatever work it is given.

However, understanding how AI works require first grasping the concept that AI is more than a single computer programme or application; it is a complete discipline or science. 

The goal of AI research is to create a computer system that can model human behaviour and solve complicated issues using human-like cognitive processes. If you’re looking for oil and gas jobs in Canada, then make sure you are aware of Artificial Intelligence Technology. 

How Artificial Intelligence is Disrupting the Oil and Gas Industry

New technologies such as artificial intelligence (AI) and machine learning (ML) are revolutionising the way businesses have operated for decades. These technologies are bringing about significant changes in a variety of industries. The oil and gas business has numerous operational obstacles, including a disconnected environment, frequent equipment downtime, and truck engine maintenance issues, among others. In comparison to other industries, the oil and gas industry has put less effort into implementing AI/ML into its processes. 

However, because these technologies help companies reduce operational costs and increase efficiency, the oil and gas industry is now ready to employ them.

Sensors and robots provide vast amounts of data to oil and gas firms, but they are unable to fully exploit it. In the oil and gas industry, artificial intelligence (AI) is used to examine previous data and make more accurate forecasts about future events.

Predicted Maintenance

The superiority of the human brain in terms of organic-based computing capacity is undeniable. However, it is machine learning technology, not the human brain, that has been saddled with the impossible task of managing billions of dollars in assets and infrastructure. Machine learning can be used to construct a technological crystal ball that can predict equipment failure before it becomes severe enough to halt operations when there is enough historical data available.

It’s amazing how time when combined with high-quality data, can help entire businesses forecast a maintenance issue that could result in substantial downtime, environmental disaster, or a threat to human life.

Smart Safety Helmet (SSH) 

Smart safety helmets are meant to reduce injury risk and improve worker safety. It can monitor workers’ head movements and brain activity to spot unusual behaviour. The SSH’s sensors capture data that can be used to calculate accident risk in real-time. A helmet displacement sensor, collision sensor, air quality sensor, data processing unit, wireless transmission, and an alternating unit are among the hardware components included in SSH. When the computed risk level for fatigue, stress, or errors reaches a threshold, an alarm is delivered to the operator to turn off the specific equipment or process.

Environment, health and safety (EHS) 

One of the most important parts of the success of regular operations in oil and gas firms is safety. Workers in oil and gas refineries are frequently exposed to health hazards such as toxic and caustic compounds, manual handling activities, isolated places, severe temperatures, and so on. 

Massive amounts of data are collected in order to find out why safety issues arise, what causes them, and how to avoid them in the future. AI and machine learning technologies have the potential to analyse and learn from this data over time. 

These technologies provide you with valuable insights that assist you in making proactive and preventative decisions. 

Customer Service

Artificial intelligence is not just causing havoc in the oil and gas business on the ground; it’s also having an impact on how producers engage with their biggest customers. Though the way these “virtual assistants” are used and the responsibilities they are given differ from one organisation to the next, it is clear to see how they may help. 

For example, Shell’s virtual assistant (a 24/7 chatbot named Emma and Ethan) may provide instantaneous recommendations based on a returning client’s order history, allowing the customer to expedite their transaction with no effort. Aside from the apparent benefit of having a virtual assistant who can answer sales enquiries around the clock, this application of AI technology allows for the reassignment of human capital to more technical endeavours, which can result in significant cost savings for the organisation. 

Conclusion

AI’s potential has been recognised by the oil and gas industry. Early adopters are gaining a competitive advantage by protecting their assets and personnel. Without a doubt, AI’s potential will result in significant changes in company tactics. As the sector becomes more competitive, organisations will need to incorporate AI into their operations to stay competitive.

 

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