Cover image for Seismic imaging and inversion application of linear inverse theory
Seismic imaging and inversion application of linear inverse theory
Title:
Seismic imaging and inversion application of linear inverse theory
Author:
Stolt, Robert H.
ISBN:
9781139224680

9781139056250

9781139218160

9781139213363
Personal Author:
Publication Information:
Cambridge ; New York : Cambridge University Press, 2012.
Physical Description:
1 online resource (404 p.)
Contents:
Modeling, migration, imaging, and inversion -- Basic migration concepts -- Prestack migration -- Migration limitations -- Models for wave propagation and reflection -- Green's functions -- The scattering potential -- Reflectivity -- Synthesizing reflection data -- Frequency-wavenumber migration -- Asymptotic modeling and migration -- Residual asymptotic migration -- Asymptotic data mapping and continuation -- Least-squares asymptotic migration.
Abstract:
"Extracting information from seismic data requires knowledge of seismic wave propagation and reflection. The commonly used method involves solving linearly for a reflectivity at every point within the Earth, but this book follows an alternative approach which invokes inverse scattering theory. By developing the theory of seismic imaging from basic principles, the authors relate the different models of seismic propagation, reflection and imaging - thus providing links to reflectivity-based imaging on the one hand and to nonlinear seismic inversion on the other. The comprehensive and physically complete linear imaging foundation developed presents new results at the leading edge of seismic processing for target location and identification. This book serves as a fundamental guide to seismic imaging principles and algorithms and their foundation in inverse scattering theory and is a valuable resource for working geoscientists, scientific programmers and theoretical physicists"-- Provided by publisher.

"Extracting information from seismic data requires knowledge of seismic wave propagation and reflection. The commonly used method involves solving linearly for a reflectivity at every point within the Earth. The resulting reflectivity, however,is not an intrinsic Earth property, and cannot easily be extended to nonlinear processes which might provide a deeper understanding and a more accurate image of the subsurface"-- Provided by publisher.
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