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Download Elastic Waves in Random Media: Fundamentals of Seismic Stratigraphic Filtering (Lecture Notes in Earth Sciences) ePub

by Peter Hubral,Serge A. Shapiro

Download Elastic Waves in Random Media: Fundamentals of Seismic Stratigraphic Filtering (Lecture Notes in Earth Sciences) ePub
  • ISBN 3540650067
  • ISBN13 978-3540650065
  • Language English
  • Author Peter Hubral,Serge A. Shapiro
  • Publisher Springer; 1999 edition (December 11, 1998)
  • Pages 191
  • Formats lit rtf doc mbr
  • Category Math
  • Subcategory Earth Sciences
  • Size ePub 1686 kb
  • Size Fb2 1125 kb
  • Rating: 4.9
  • Votes: 192

This book treats various generalizations of the classical O'Doherty-Anstey formula in order to describe stratigraphic filtering effects. These are the effects that can be observed when elastic and electromagnetic waves propagate through multilayered structures. Our aim was to treat this topic in a comprehensive manner and present compact results in a didactically simple way, emphasizing the physics of the wave-propagation phenomena. We do not claim mathematical rigidity in all our derivations, however, we are pleased to have obtained quite simple descriptions of scattering, transmission and reflection of wavefields in acoustic, elastic, and poroelastic media which can be useful for various seismological and non-seismological applications.

These are the effects that can be observed when elastic and electromagnetic waves propagate through multilayered structures

In particular, it highlights authors' original contribution to the theory of seismic attenuation and dispersion due to scattering in finely layered media. The approach taken by the authors combines mathematical rigor with simple physical concepts. Thus the book will be useful for the general geophysical community.

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ISBN 10: 3540650067 ISBN 13: 9783540650065. It employs a wave propagation reversal procedure that compensates for energy absorption and corrects wavelet distortion due to velocity dispersion. By compensating for amplitude attenuation, seismic data can provide true relative-amplitude information for amplitude inversion and subsequent reservoir characterization.