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Publicado por Elsevier Science Publishing Co Inc, 2022
ISBN 10: 0128222956 ISBN 13: 9780128222959
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 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. Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional geoscientists working on the subsurface-related problems (oil and gas, geothermal, carbon sequestration, and seismology) at different scales to understand and appreciate current trends in ML approaches, their applications, advances and limitations, and future potential in geosciences by bringing together several contributions in a single volume.
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ISBN 10: 0128222956 ISBN 13: 9780128222959
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Añadir al carritoCondición: New. Inhaltsverzeichnis1. Data Analytics and Machine Learning: A review2. Self-Organizing Map: a case study in geosciences and/or reservoir engineering3. Artificial Neural Network: a case study in geosciences and/or reservoir engineer.
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Publicado por Elsevier Science Publishing Co Inc, 2022
ISBN 10: 0128222956 ISBN 13: 9780128222959
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Publicado por Elsevier Science Publishing Co Inc, 2022
ISBN 10: 0128222956 ISBN 13: 9780128222959
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Añadir al carritoPaperback. Condición: new. Paperback. 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.Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional geoscientists working on the subsurface-related problems (oil and gas, geothermal, carbon sequestration, and seismology) at different scales to understand and appreciate current trends in ML approaches, their applications, advances and limitations, and future potential in geosciences by bringing together several contributions in a single volume. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Elsevier Science Publishing Co Inc, 2022
ISBN 10: 0128222956 ISBN 13: 9780128222959
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Añadir al carritoPaperback. Condición: new. Paperback. 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.Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional geoscientists working on the subsurface-related problems (oil and gas, geothermal, carbon sequestration, and seismology) at different scales to understand and appreciate current trends in ML approaches, their applications, advances and limitations, and future potential in geosciences by bringing together several contributions in a single volume. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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