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Annual Report 2000 - WIT

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16<br />

CDP number<br />

3100 3000 2900 2800 2700 2600<br />

30<br />

CDP number<br />

3100 3000 2900 2800 2700 2600<br />

25<br />

2.6<br />

20<br />

2.6<br />

15<br />

2.8<br />

10<br />

2.8<br />

5<br />

Time [s]<br />

3.0<br />

0<br />

-5<br />

Time [s]<br />

3.0<br />

3.2<br />

-10<br />

3.2<br />

-15<br />

3.4<br />

-20<br />

3.4<br />

-25<br />

3.6<br />

Detail of optimized CRS stack section (ungained)<br />

a)<br />

-30<br />

3.6<br />

Difference of emergence angles [°]<br />

b)<br />

50<br />

CDP number<br />

3100 3000 2900 2800 2700 2600<br />

50<br />

CDP number<br />

3100 3000 2900 2800 2700 2600<br />

40<br />

2.6<br />

40<br />

2.6<br />

30<br />

30<br />

20<br />

2.8<br />

20<br />

2.8<br />

10<br />

10<br />

0<br />

Time [s]<br />

3.0<br />

0<br />

Time [s]<br />

3.0<br />

-10<br />

3.2<br />

-10<br />

3.2<br />

-20<br />

-20<br />

-30<br />

3.4<br />

-30<br />

3.4<br />

-40<br />

-40<br />

-50<br />

3.6<br />

Detail of 1st emergence angle section [°]<br />

c)<br />

-50<br />

3.6<br />

Detail of 2nd emergence angle section [°]<br />

d)<br />

Figure 6: Details of the CRS stack results: a) optimized CRS stack section, c) and d)<br />

emergence angles of the first and second detected contributing events, b) difference of<br />

the emergence angles shown in c) and d).<br />

The steep event in the center of the figures intersects several conflicting events,<br />

e.g., the plate boundary in the lower left. Depending on the chosen thresholds for the<br />

identification of conflicting dip situations, the intersecting events were detected and<br />

characterized. This can be seen best in Figure 6b with the difference of the emergence<br />

angles in subfigures c and d.<br />

Although the multitude of (actually only sparsely covered) attribute sections is<br />

difficult to visualize, we can easily make full use of them to simulate the final ZO<br />

section including the interference of intersecting events. Furthermore, the approximate<br />

time migration included in the current implementation handles all contributing events<br />

separately. In contrast, the conventional post-stack time migration is not able to resolve<br />

such ambiguities as its input only contains the superposition of all contributing events.

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