Tensor Computation for Seismic Data Processing: Linking Theory and Practice: 6 (Earth Systems Data and Models, 6) - Image 1

£121.46

Springer Tensor Computation for Seismic Data Processing: Linking Theory and Practice: 6 (Earth Systems Data and Models, 6)

Name: Tensor Computation for Seismic Data Processing: Linking Theory and Practice: 6 (Earth Systems Data and Models, 6)
Brand: Springer
Price: 121.46 GBP
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Geophysics

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Description

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 tensor computation. The heart of the book lies in its seven chapters on tensor-based seismic data analysis methods. From structured low-tubal-rank tensor completion to cutting-edge techniques like tensor deep learning and tensor convolutional neural networks, each method is meticulously detailed. The superiority of tensor-based data analysis methods over traditional matrix-based data analysis approaches is substantiated through synthetic and real field examples, showcasing their prowess in handling high-dimensional modern seismic data. Notable chapters delve into seismic noise suppression, seismic data interpolation, and seismic data super-resolution using advanced tensor models. The final chapter provides a cohesive summary of the conclusion and future research directions, ensuring readers facilitate a thorough understanding of tensor computation applications in seismic data processing. The appendix includes a hatful of information on existing tensor computation software, enhancing the book's practical utility.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3031788990
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Geophysics
Domain: Amazon UK
Release Date: 27 April 2025
Listed Since: 25 October 2024

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Springer Tensor Computation for Seismic Data Processing: Linking Theory and Practice: 6 (Earth Systems Data and Models, 6)

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