Hi,

This week you'll learn about Computer Vision and Deep Learning for Oil and Gas.

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In our previous posts, we learned about the benefits, applications, and challenges of Computer Vision and Deep Learning for big industries and businesses. Today's tutorial discusses the necessities, benefits, applications, and challenges of using deep learning and computer vision in the Oil and Gas industry.

The big picture: Despite the widespread diffusion of renewable energy, oil and gas are among the highly valued commodities in the energy sector. However, commodity cycles, capital planning challenges, and increasing operational risk have propelled the oil and gas industry to make more intelligent and efficient decisions like Artificial Intelligence (AI). 

How it works: AI can feed on the data generated by the Internet of Things (IoT) sensors to create real-time updates on equipment health. It can aid in predicting the market price of crude oil and finished products, proper planning and scheduling, enabling optimization of the natural basket, etc. AI-powered underwater robots suited for ocean exploration can monitor the depths of the oceans, map them, and detect new energy sources.

Our thoughts: AI/ML seem to have enormous potential in the oil and gas industry. By not considering it, leaders in the sector risk being blindsided. It can help reduce costs, add capacity and capability, speed decision-making, and improve quality while managing risk. This will allow machines and humans to work together in collectively intelligent ways, propelling the sector into the digital age. 

Yes, but: AI in the oil and gas industry comes with risks and challenges. Shifting to the AI paradigm requires much effort and investment in educating existing employees on using these services. Also quality and accuracy of data are often low, which makes training AI algorithms difficult. 

Stay smart: It is essential to understand the risks and challenges associated with AI and their enormous potential when using AI algorithms in this sector.

Click here to read the full tutorial

Do You Have an OpenCV Project in Mind?

You can instantly access all of the code for courses on TensorFlow, PyTorch, Keras, and OpenCV by joining PyImageSearch University. 

Guaranteed Results: If you haven't accomplished your Computer Vision/Deep Learning goals, let us know within 30 days of purchase and get a full refund.

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Your PyImageSearch Team

P.S. Do you need some help with your industrial application of AI? Learn more about our consulting services.

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