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Advances in Subsurface Data Analytics
Paperback
ISBN13: 9780128222959
Publisher: Elsevier
Published: May 20 2022
Pages: 376
Weight: 1.42
Height: 0.78 Width: 7.50 Depth: 9.25
Language: English
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.
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