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Annual Report 2000 - WIT

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101<br />

versa where the two integrals are asymptotically inverse operations to each other. The<br />

transformation pair for the 2D case reads:<br />

¥î£§<br />

¤f¥i¦i§¦¥<br />

¤¥¦i§<br />

¬UÄ<br />

¤¥<br />

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ï<br />

§ÖÑ ÐiÑ Ó (1)<br />

ï<br />

¥î£§ ¨ ­<br />

¤¥<br />

·ú¡<br />

¼«½ ¾<br />

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Áç<br />

Where denotes the so-called configuration parameter which includes shot- and<br />

¤ ¥î§<br />

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receiver coordinates. stands for the image in the depth domain ¡<br />

·ú¡<br />

and<br />

denotes the data in the time domain. Amplitudes are accounted for with a weight function<br />

that changes for each configuration and model dimension. In this paper, ¤ we<br />

focus on the true-amplitude migration process. However, demigration as transformation<br />

from depth to time is mentioned for completeness.<br />

¬<br />

TRUE AMPLITUDE PRESTACK MIGRATION AND DEMIGRATION<br />

0 0.5 1 1.5 2 2.5<br />

Time (sec)<br />

Receiver Shot position Number (km)<br />

0 1 2 3 4 5 46 7 8 9 10 6 11 12 13 148 15 16 17 18 10 19 20<br />

Prestack Data<br />

Figure 2: The first 10 shotgathers of the synthetic prestack dataset calculated by dynamic<br />

raytracing. Only primary PP reflections were considered.<br />

We first demonstrate the method using a simple model consisting of a dipping interface<br />

which allows us to check the algorithm and compare amplitudes easily. An<br />

input marine multicoverage dataset (Figure 2) was constructed using dynamic raytracing.<br />

The data includes elastic amplitudes (however, only PP reflections were taken<br />

into account) and 3D geometrical spreading, thus representing an acquisition line over<br />

a 2.5D model. Figure 3 a shows the smoothed velocity model used to compute the<br />

necessary one-way traveltimes and dynamic attributes. The migrated result is shown<br />

in Figure 3 b for every offset. Due to the acquisition geometry, parts of the reflector

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