Advances in Subsurface Data Analytics
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 eng… Celý popis ↓
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Advances in Subsurface Data Analytics
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. Each chapter focuses on one ML algorithm with a detailed workflow for a specific application in geosciences. 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.
Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional 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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