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A Primer on Machine Learning in Subsurface Geosciences (Paperback, 1st ed. 2021)
Loot Price: R1,938
Discovery Miles 19 380
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A Primer on Machine Learning in Subsurface Geosciences (Paperback, 1st ed. 2021)
Series: SpringerBriefs in Petroleum Geoscience & Engineering
Expected to ship within 10 - 15 working days
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This book provides readers with a timely review and discussion of
the success, promise, and perils of machine learning in
geosciences. It explores the fundamentals of data science and
machine learning, and how their advances have disrupted the
traditional workflows used in the industry and academia, including
geology, geophysics, petrophysics, geomechanics, and geochemistry.
It then presents the real-world applications and explains that,
while this disruption has affected the top-level executives,
geoscientists as well as field operators in the industry and
academia, machine learning will ultimately benefit these users. The
book is written by a practitioner of machine learning and
statistics, keeping geoscientists in mind. It highlights the need
to go beyond concepts covered in STAT 101 courses and embrace new
computational tools to solve complex problems in geosciences. It
also offers practitioners, researchers, and academics insights into
how to identify, develop, deploy, and recommend fit-for-purpose
machine learning models to solve real-world problems in subsurface
geosciences.
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