Advances in Subsurface Data Analytics

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Advances in Subsurface Data Analytics: Traditional and Physics-Based Machine Learning brings together popular, emerging machine learning algorithms and their applications in subsurface analysis, including geology, geophysics and petrophysics. Each chapter focuses on one machine learning algorithm and includes detailed workflow, applications and case studies. In addition, some of the chapters contain algorithm comparisons to better equip readers with different strategies to implement automated workflows for subsurface analysis. This book will help researchers in academia and professional geoscientists working in the oil and gas industry understand and appreciate the existence of machine learning and deep learning models. In addition, users will learn how to optimize performance and explore applications in the geosciences by bringing together several contributions in a single volume.