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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Machine Learning in the Oil and Gas Industry - Including Geosciences, Reservoir Engineering, and Production Engineering with Python (Paperback, 1st ed.)
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Machine Learning in the Oil and Gas Industry - Including Geosciences, Reservoir Engineering, and Production Engineering with Python (Paperback, 1st ed.)
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Apply machine and deep learning to solve some of the challenges in
the oil and gas industry. The book begins with a brief discussion
of the oil and gas 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 Python
programming language used for implementing the algorithms; this is
followed by an overview of supervised and unsupervised machine
learning concepts. The authors provide industry examples using open
source data sets along with practical explanations of the
algorithms, without diving too deep into the theoretical aspects of
the algorithms employed. Machine Learning in the Oil and Gas
Industry covers problems encompassing diverse industry topics,
including geophysics (seismic interpretation), geological modeling,
reservoir engineering, and production engineering. Throughout the
book, the emphasis is on providing a practical approach with
step-by-step explanations and code examples for implementing
machine and deep learning algorithms for solving real-life problems
in the oil and gas industry. What You Will Learn Understanding the
end-to-end industry life cycle and flow of data in the industrial
operations of the oil and gas industry Get the basic concepts of
computer programming and machine and deep learning required for
implementing the algorithms used Study interesting industry
problems that are good candidates for being solved by machine and
deep learning Discover the practical considerations and challenges
for executing machine and deep learning projects in the oil and gas
industry Who This Book Is For Professionals in the oil and gas
industry who can benefit from a practical understanding of the
machine and deep learning approach to solving real-life problems.
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