Tensor Computation for Seismic Data Processing

Linking Theory and Practice

Feng Qian, Shengli Pan, Gulan Zhang

Publisher: Springer Nature

Published: 2025

ISBN-13: 9783031789007

ISBN-10: 3031789008

Pages: 239

Subjects: Science / Earth Sciences / General, Science / Physics / Geophysics, Science / Environmental Science, Science / Physics / General, Science / Earth Sciences / Geology

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About Tensor Computation for Seismic Data Processing

This book aims to provide a comprehensive understanding of tensor computation and its applications in seismic data analysis, exclusively catering to seasoned researchers, graduate students, and industrial engineers alike. Tensor emerges as a natural representation of multi-dimensional modern seismic data, and tensor computation can help prevent possible harm to the multi-dimensional geological structure of the subsurface that occurred in classical seismic data analysis. It delivers a wealth of theoretical, computational, technical, and experimental details, presenting an engineer's perspective on tensor computation and an extensive investigation of tensor-based seismic data analysis techniques. Embark on a transformative exploration of seismic data processing—unlock the potential of tensor computation and reshape your approach to high-dimensional geological structures. The discussion begins with foundational chapters, providing a solid background in both seismic data processing and ten...

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