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Application of inverse ray-tracing seismic modelling techniques

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110 Karastathis et al.<br />

4.6<br />

4.1<br />

3.6<br />

3.1<br />

2.6<br />

2.1<br />

1.6<br />

1.1<br />

0.6<br />

0<br />

-0.5<br />

-1<br />

-1.5<br />

-2<br />

-2.5<br />

Km/s<br />

-3 Km/s<br />

20<br />

10<br />

0<br />

20<br />

10<br />

0<br />

20<br />

10<br />

0<br />

20<br />

10<br />

0<br />

20<br />

10<br />

0<br />

20<br />

10<br />

0<br />

100 150 200<br />

100 150 200<br />

100 150 200<br />

100 150 200<br />

100 150 200<br />

100 150 200<br />

FIG. 5. A single parameter resolution test. The final model (A) was perturbed by raising the 180 m node by 3 m. The<br />

resulting model (B) was used to produce a new arrival time dataset. The inversion <strong>of</strong> the final model (A) with the<br />

perturbed time dataset resulted to a new model (C). The next model (D) presents the initial perturbation which created the<br />

perturbed time dataset. Model (E) shows the resulted perturbation on the final model crated by inverting the perturbed<br />

time dataset. The models (D) and (E) are little different. The difference is shown in model (F).<br />

A<br />

B<br />

C<br />

D<br />

E<br />

F<br />

N<br />

60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240<br />

S<br />

20<br />

10<br />

0<br />

0 5 10 15 20 25 30 35 40 45 50<br />

GPa<br />

FIG. 6. Section representing the estimated elasticity modulus <strong>of</strong> the line IKRP1.<br />

FIG. 7. The refraction <strong>seismic</strong> section after processing with the SIPT1 algorithm.

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