
Exploiting Seismic Waveforms
Correlation, Heterogeneity and Inversion
Cambridge University Press
Published on 3. December 2020
Book
Hardback
504 pages
978-1-108-83074-4 (ISBN)
Description
Exploiting Seismic Waveforms introduces a range of recent developments in seismology including the application of correlation techniques, understanding of multi-scale heterogeneity and the extraction of structure and source information by seismic waveform inversion. It provides a full treatment of correlation methods for seismic noise and event signals, and develops inverse methods for both sources and structure. Higher frequency components of seismograms are frequently neglected, or removed by filtering, but they contain information about seismic structure on scales that cannot be revealed by seismic tomography. Sufficient computational resources are now available for waveform inversion for 3-D structure to be a practical procedure and this book describes suitable algorithms and examples reflecting current best practice. Intended for students and researchers in seismology, this book provides a physical understanding of seismic waveforms and the way that different aspects of the seismic wavefield are revealed by the way that seismic data are handled.
Reviews / Votes
'The authors of this volume are recognized internationally for their many fundamental contributions to global and exploration geophysics. They have succeeded admirably in producing a volume that straddles both disciplines and commenting on the often-ignored relationships and differences between them. Exploiting Seismic Waveforms is bound to become a standard reference in both theoretical and computational seismology. The theory is presented with the eloquence and crispness we have already known to be associated with previous writings by these two authors. Allow me therefore ... to grade this beautiful volume with an A+.' Sven Treitel, The Leading EdgeMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 32 mm
Weight
1044 gr
ISBN-13
978-1-108-83074-4 (9781108830744)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Brian L. N. Kennett | Andreas Fichtner
Exploiting Seismic Waveforms
Correlation, Heterogeneity and Inversion
Book
12/2020
Cambridge University Press
€81.00
No shipping information available

Brian L. N. Kennett | Andreas Fichtner
Exploiting Seismic Waveforms
Correlation, Heterogeneity and Inversion
E-Book
11/2020
Cambridge University Press
€74.99
Available for download
Persons
Brian Kennett is Emeritus Professor of Seismology at the Australian National University. His research interests are directed towards understanding the structure of the Earth from seismological observations. He is the recipient of numerous awards and medals for his work and is a Fellow of the Australian Academy of Sciences and the Royal Society (London). He the author of more than 300 research papers and nine books.
Content
1. Introduction; Part I: Building the Seismic Wavefield: 2. Stratified Media; 3. Laterally Varying Media; 4. The Reflection Field; Part II: Correlation Wavefields: 5. Correlations and Transfer Functions; 6. Correlations and Interferometry; 7. Correlations and Ambient Noise; 8. Coda Correlations; 9. Correlations in Receiver Studies; Part III: Interaction of Seismic Waves with Heterogeneity: 10. Deterministic and Stochastic Heterogeneity; 11. The Effects of Heterogeneity; 12. Scattering and Stochastic Waveguides; 13. Multi-scale Heterogeneity; Part IV: Inversion for Earth Structure: 14. Inference for Structure; 15. Gradient Methods for Nonlinear Inversion; 16. Adjoint Methods and Sensitivity Analysis; 17. Waveform Inversion of Event Data; 18. Waveform Inversion of Correlation Data; 19. New Directions; Appendix: Table of Notation; Bibliography; Index.