Advances in Subsurface Data Analytics: Traditional and Physics-Based Machine Learning – Ebook PDF Instant Delivery – ISBN(s): 9780128222959,0128222956
Product details:
- ISBN-10: 0128222956
- ISBN-13: 978-0128222959
- Author: Shuvajit Bhattacharya, Haibin Di
Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering. The book is divided into four parts: traditional ML, deep learning, physics-based ML, and new directions, with an increasing level of diversity and complexity of topics. Each chapter focuses on one ML algorithm with a detailed workflow for a specific application in geosciences. Some chapters also compare the results from an algorithm with others to better equip the readers with different strategies to implement automated workflows for subsurface analysis.
Table contents:
Part 1 Traditional machine learning approaches
Part 2 Deep learning approaches
Part 3 Physics-based machine learning approaches
Part 4 Physics-based machine learning approaches
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