Tensor Computation for Seismic Data Processing

Linking Theory and Practice de

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Éditeur :

Springer


Paru le : 2025-04-26

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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.
Pages
239 pages
Collection
n.c
Parution
2025-04-26
Marque
Springer
EAN papier
9783031788994
EAN PDF
9783031789007

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
27167 Ko
Prix
168,79 €
EAN EPUB
9783031789007

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
104468 Ko
Prix
168,79 €

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