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Three practical applications of deep learning and IoT in oil and gas

Deep learning and IoT are two game-changing technologies that have the potential to revolutionize the stakes for oil and gas companies facing profitmaking pressure in the face of the dramatic drop in price of oil. In this blog, based on Flutura’s extensive experience in the oil and gas industry, we have highlighted three practical use cases, from the trenches, where these technologies are practically applied to solve real-life problems and impact meaningful business outcomes.

In our first use case, we take a look at how algorithms can reveal patterns and information not easily seen in other ways. For instance, drones are increasingly being used for pipeline inspections. As these drones fly through a pipeline, they record an enormous amount of video footage. It’s very difficult for a human being to detect risks such as leaks and cracks in a pipeline. Deep learning algorithms can automatically detect pixel signatures from drone footage for cracks and leaks that humans can miss, thereby minimizing infrastructure risk. Read more…