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A Deterministic Evaluation of eismic Fidelity using Velocity Modeling ...

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comparisons, those at the same depth, and comparisons <strong>of</strong> differences <strong>of</strong> 200 feet. In the<br />

shallower section, around 4500 ft and 4305 feet there was not a noticeable difference<br />

between the two PSDM volumes. I used the well-based PSDM for the final interpretation<br />

because it imaged faults and salt more clearly at 6000 ft and 5805 feet.<br />

5.5 Attributes for Interpretation<br />

Coherence has been recognized and used as an interpretation tool. In this study<br />

coherence, especially with edge preserving smoothing provided a robust interpretation<br />

tool. Integrated with the s<strong>eismic</strong> data coherence allowed interpretation <strong>of</strong> several<br />

structural and stratigraphic features that otherwise would have been missed. Imaged<br />

from the coherence cube were several faults and channels not easily detected in the<br />

s<strong>eismic</strong> data alone (Figure 75). Figure 75 also illustrates how the well-based model<br />

improved the fidelity over the prestack time migrated velocity model PSDM and the<br />

PSTM, especially deeper in the section. Another significant improvement was the ability<br />

to accurately image the salt flanks (Figure 76). Using coherence as an interpretation tool,<br />

contrasts between the faults and channels allowed me to interpret them (Figure 77).<br />

Interpreting geologic features <strong>using</strong> coherence that were not imaged with s<strong>eismic</strong> alone<br />

demonstrated the robustness <strong>of</strong> coherence with edge preserving smoothing.<br />

I also generated curvature and gradient attributes to see if they too could be used for<br />

interpretation. To determine the degree <strong>of</strong> folding in areas <strong>of</strong> folded strata is where the<br />

curvature attribute is most useful. I calculated the curvature attribute for the Vinton<br />

111

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