Titlebook: Machine Learning in the Oil and Gas Industry; Including Geoscience Yogendra Narayan Pandey,Ayush Rastogi,Luigi Sapute Book 2020 Yogendra Na

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Reservoir Engineering,lgorithms have provided the industry with an additional mechanism to solve problems and gain insights. Machine learning applications in the oilfield are observed in drilling engineering for ROP optimization [1], differential pipe sticking [2], identification of sweet spots [3], petrophysical modelin

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Opportunities, Challenges, and Future Trends, of the shifting of many manufacturing sites to Africa, South Asia, and India, non-OECD countries will experience two to four times more growth than OECD countries [1]. The oil and gas industry will continue to exhibit an era of growth. More than half of the global energy demand in 2018 was supplied

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Yogendra Narayan Pandey,Ayush Rastogi,Luigi SaputeContains real-life oil and gas company examples, based on data sets from those industries.Covers supervised and unsupervised learning.Covers diverse industry topics, including geophysics, geological m

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Python Programming Primer,s. However, before you can implement those solutions, you need to learn how to code the applicable machine learning algorithms. This makes understanding a computer programming language necessary before diving into machine learning.

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Book 2020as exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Pyt