Tensor Computation for Seismic Data Processing (eBook)

Linking Theory and Practice

Feng Qian, Shengli Pan, Gulan Zhang (Autoren)

eBook Download: PDF

2025
239 Seiten
Springer Nature Switzerland (Verlag)
9783031789007 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 26.4.2025
• Reihe/Serie: Earth Systems Data and Models
• Zusatzinfo: XIV, 239 p. 82 illus., 81 illus. in color.
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Geowissenschaften
• Themenwelt: Naturwissenschaften ► Physik / Astronomie
• Schlagworte: Artificial Intelligence (AI) • Deep learning • Seismic Data Reconstruction • Seismic Noise Suppression • tensor decomposition
• ISBN-13: 9783031789007 / 9783031789007