Estimation of Q from surface-seismic reflection data in data space and image space
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Ray-based tomography
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Shen: Q estimation
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Introduction
Methods Review
In this section, I review previous studies which have addressed Q estimation, and discuss how they solve the challenges listed above. Generally, Q tomography algorithms are classified into two main categories. One category is ray-based tomography (
Rickett, 2007
;
Plessix, 2006
;
Rickett, 2006
;
Quan and Harris, 1997
), where the relationship between the measurements and the inverse of Q is assumed to be linear. The other category is wave-equation-based tomography (
Xin et al., 2008
;
Liao and McMechan, 1996
;
Pratt et al., 2003
;
Watanabe et al., 2004
;
Gao et al., 2005
;
Hicks and Pratt, 2001
), which is formulated as a nonlinear optimization problem.
Subsections
Ray-based tomography
Wave-equation-based method
2012-05-10