Difference between revisions of "Dinver:Parameterization"
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| − | There is no unique way of defining a correct parameterization | + | There is no unique way of defining a correct parameterization and there is currently no commonly accepted strategy to conduct an inversion. This document presents an example based on the same dispersion curve as in [[Dispersion curve inversion]], revisited with various parameterizations. |
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| + | == A 3-layer model == | ||
| + | |||
| + | From the 2-layer model described in [[Dispersion curve inversion#Defining the parameter space|Dispersion curve inversion]]: | ||
| + | |||
| + | * Add two layers for '''Vs''' profile by clicking once times on ''Add'' button in ''Shear velocity profile''. | ||
| + | * Re-link '''Vp''' interface to '''Vs''' interface by selecting ''Vs1'' in ''Linked to'' combo box. | ||
| + | |||
| + | [[Image:Dinverdc_3layerparams.png|thumb|center|500px|A 3-layer model with only one layer in Vp profile]] | ||
| + | [[Image:Dinverdc_3layerresults.png|thumb|right|300px|3-layer results: Vp and Vs profiles]] | ||
| + | |||
| + | Add a new run and start it. Misfit now drops far below 0.01, with a much better fit of the dispersion even at high frequency. The true profile is correctly retrieved. Vp is also well estimated because the dispersion curve contains absolutely no noise. For real cases, fitting the dispersion curve with a misfit below 5-10% is not frequent. | ||
Revision as of 18:32, 23 February 2010
There is no unique way of defining a correct parameterization and there is currently no commonly accepted strategy to conduct an inversion. This document presents an example based on the same dispersion curve as in Dispersion curve inversion, revisited with various parameterizations.
A 3-layer model
From the 2-layer model described in Dispersion curve inversion:
- Add two layers for Vs profile by clicking once times on Add button in Shear velocity profile.
- Re-link Vp interface to Vs interface by selecting Vs1 in Linked to combo box.
Add a new run and start it. Misfit now drops far below 0.01, with a much better fit of the dispersion even at high frequency. The true profile is correctly retrieved. Vp is also well estimated because the dispersion curve contains absolutely no noise. For real cases, fitting the dispersion curve with a misfit below 5-10% is not frequent.
