Data Analytics: Machine Learning Applications in Upstream O&G
Self-driving cars may be on the brink of revolutionizing our means of transportation and many of the technologies that fomented their development can be employed to transform oil and gas exploration.
Machine learning techniques such as convolutional neural networks (CNN) that gave autonomous vehicles sight could help with visual inspection tasks or when dealing with historical data (say, predict the long-term wear of some important component). Moreover, reinforcement learning, used in control tasks (e.g., steering an autonomous car) could be used to efficiently control pumps and valves in O&G rigs. In summary, this presentation explores possible connections between these two different fields and the useful insights that may come from it.
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