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Efficient calculation of a partial-derivative wavefield using reciprocity for seismic imaging and inversion

Cited 90 time in Web of Science Cited 156 time in Scopus
Authors
Shin, Changsoo; Yoon, Kwangjin; Marfurt, Kurt J.; Park, Keunpil; Yang, Dongwoo; Lim, Harry Y.; Chung, Seunghwan; Shin, Sungryul
Issue Date
2001
Publisher
Society of Exploration Geophysicists (SEG)
Citation
Geophysics, 66, 1856-1863
Abstract
Linearized inversion of surface seismic data for a
model of the earth’s subsurface requires estimating the
sensitivity of the seismic response to perturbations in the
earth’s subsurface. This sensitivity, or Jacobian, matrix is
usually quite expensive to estimate for all but the simplest
model parameterizations.We exploit the numerical
structure of the finite-element method, modern sparse
matrix technology, and source–receiver reciprocity to develop
an algorithm that explicitly calculates the Jacobian
matrix at only the cost of a forward model solution. Furthermore,
we show that we can achieve improved subsurface
images using only one inversion iteration through
proper scaling of the image by a diagonal approximation
of the Hessian matrix, as predicted by the classical
Gauss-Newton method. Our method is applicable to the
full suite of wave scattering problems amenable to finiteelement
forward modeling.We demonstrate our method
through some simple 2-D synthetic examples.
ISSN
0016-8033
Language
English
URI
http://hdl.handle.net/10371/6113
DOI
https://doi.org/10.1190/1.1487129
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Energy Systems Engineering (에너지시스템공학부)Journal Papers (저널논문_에너지시스템공학부)
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