Название: A Primer on Machine Learning in Subsurface Geosciences
Автор: Shuvajit Bhattacharya
Издательство: Springer
Год: 2021
Страниц: 182
Язык: английский
Формат: pdf (true)
Размер: 12.0 MB
This book provides readers with a timely review and discussion of the success, promise, and perils of Machine Learning (ML) 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. This book provides a timely review and discussion of the fundamentals, workflow, proven success, promises, and perils of ML. It can be used as a ready-to-go reference for understanding ML and its nuances in both subsurface and surface applications.