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P. Schmoldt, PhD - MTNet - DIAS

P. Schmoldt, PhD - MTNet - DIAS

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11. Summary and conclusions<br />

structures in one depth range, whereas the other region is modelled with an isotropic 1D or<br />

2D approach; as a result significantly reducing computational costs of the inversion. The<br />

1D and 2D versions of the novel approach were tested using a synthetic 3D subsurface<br />

model with orthogonal strike directions at crust and mantle depths and later applied to the<br />

PICASSO Phase I dataset from central Spain. Performance of the novel approaches were<br />

therein compared to results of isotropic 2D and isotropic 3D inversion.<br />

Structures at crustal depths were reasonably well recovered by all inversion approaches<br />

in the synthetic model study, whereas recovery of mantle structures varied significantly<br />

between the different approaches. Isotropic 2D inversion models, despite decomposition<br />

of the electric impedance tensor and using a wide range of inversion parameters, exhibited<br />

severe artefacts in the synthetic model case and yielded implausible structures for the<br />

real dataset, confirming the requirement of either an enhanced or a higher dimensionality<br />

inversion approach.<br />

With the anisotropic 1D inversion approach, mantle structures of the synthetic model<br />

were recovered reasonably well with anisotropy values perpendicular to the mantle strike<br />

direction (in this study anisotropy was assigned to the mantle region), indicating applicability<br />

of the novel approach for basic subsurface cases. For the more complex Tajo Basin<br />

subsurface the anisotropic 1D inversion approach did not yield a plausible model of the<br />

electric resistivity distribution. Inadequacy of the derived model originates therein most<br />

likely from inapplicability of the 1D approximation to the complex structures of the Tajo<br />

Basin subsurface, exhibiting multiple indications of 2D and 3D features.<br />

Owing to the higher number of degrees of freedom, the anisotropic 2D inversion approach<br />

can cope with more complex subsurface cases and it yielded a reasonable reproduction<br />

of the synthetic model as well as a plausible model for the Tajo Basin subsurface<br />

using the PICASSO Phase I dataset. However, the anisotropic 2D inversion algorithm<br />

used in this study requires coincident directions of structural strike and anisotropy. Thus,<br />

the algorithm facilitates only a difference of 90 degrees between the strike directions of<br />

crust and mantle, rather than the approximately 70 degrees determined for the Tajo Basin.<br />

Hence, subsurface models obtained with the anisotropic 2D inversion approach for cases<br />

with oblique strike directions that are significantly different from the orthogonal case must<br />

currently be associated with a higher degree of uncertainty.<br />

11.1.2. Suggestion for future work<br />

Further development of the anisotropic inversion approaches are strongly linked to enhancements<br />

of the inversion algorithms. Particularly useful enhancements of 2D algorithms<br />

that would improve applicability of this novel inversion approach are:<br />

280<br />

• Incorporation of anisotropy-axes directions that are independent of the inversion<br />

mesh orientation. The 1D inversion algorithm ai1d by Pek and Santos [2006]<br />

permits flexible anisotropy-axes directions, and the principle has been adopted for<br />

a 2D algorithm with some success Pek et al. [2011]. However, the 2D algorithm

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