1998
DOI: 10.1029/97jb03536
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Three‐dimensional seismic refraction tomography: A comparison of two methods applied to data from the Faeroe Basin

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Cited by 511 publications
(592 citation statements)
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“…The nonlinear iterative approach used here is essentially the same as that used in 3-D by Zelt and Barton [1998] and in 2-D by Zelt et al [2003]. Therefore, only a brief overview of the method is provided here.…”
Section: Wide-angle Seismic Datamentioning
confidence: 99%
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“…The nonlinear iterative approach used here is essentially the same as that used in 3-D by Zelt and Barton [1998] and in 2-D by Zelt et al [2003]. Therefore, only a brief overview of the method is provided here.…”
Section: Wide-angle Seismic Datamentioning
confidence: 99%
“…A velocity model is sought that is the smoothest overall, while also providing an appropriate fit to the data. The method determines updates to an initial model over a series of iterations with new raypaths calculated at each iteration until the observed traveltimes are predicted by the model with a normalized misfit (c 2 ) of unity [Zelt, 1999;Zelt and Barton, 1998]. To achieve this, an objective function is minimized at each iteration which measures a weighted combination of the L 2 norm of the data misft and the second spatial derivative of the model.…”
Section: Wide-angle Seismic Datamentioning
confidence: 99%
See 1 more Smart Citation
“…The maximum achievable resolution of the final FWI velocity model was assessed by a series of checkerboard tests (Zelt and Barton 1998). Alternating velocity perturbations of ± 2% were introduced into the starting velocity model in checkerboard patterns to create reference models with anomaly dimensions of 10.0 km x 2.0 km, 5.0 km x 1.0 km, and 2.5 km x 0.5 km (Fig.…”
Section: Checkerboardsmentioning
confidence: 99%
“…Typically, formal inversion routines like damped least squares (DLSQ) or regularized inversions using conjugate gradient methods are invoked to solve the large number of linear equations (e.g. Thurber 1993;Zelt & Barton 1998). To allow for the use of these methods, the tomographic inversion problem is linearized, and the traveltime differences (residuals) between the observed data and synthetic traveltime data related to an initial (or previous) model are minimized in an iterative way (see e.g.…”
Section: Introductionmentioning
confidence: 99%