A Primer on Machine Learning in Subsurface Geosciences


A Primer on Machine Learning in Subsurface Geosciences (SpringerBriefs in Petroleum Geoscience & Engineering)
Part of: SpringerBriefs in Petroleum Geoscience & Engineering (18 Books) | By 作者:Shuvajit Bhattacharya
Publisher Finelybook 出版社 : Springer; 1st ed. 2021 edition (May 4, 2021)
Language 语言: English
pages 页数: 189 pages
ISBN-10 书号: 3030717674
ISBN-13 书号 : 9783030717674
The Book Description
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 作者: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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