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

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the coherence cube after about one second. Based on this observation I used coherence to<br />

qualitatively assess the fidelity <strong>of</strong> data to determine the most accurate velocity model.<br />

My objective was to assess the value <strong>of</strong> attributes as a QC tool.<br />

1.2.6 Interpretation<br />

I used the interpretation <strong>of</strong> the well-based PSDM to gain a better understanding <strong>of</strong> the<br />

geology. One <strong>of</strong> my objectives was to verify improved fidelity by providing a more<br />

detailed interpretation and to gain new insights into the geologic processes associated<br />

with Vinton Dome. I used well ties and synthetics to assess the accuracy <strong>of</strong><br />

interpretations. Coherence also aided in my interpretation <strong>of</strong> salt and faults, and as a QC<br />

tool.<br />

Improved resolution <strong>of</strong> the Vinton Dome 3-D surface s<strong>eismic</strong> data demonstrates the value<br />

<strong>of</strong> PSDM <strong>using</strong> a well-based velocity model in 3-D land surveys with piercement salt<br />

domes to provide a greater understanding <strong>of</strong> geology. Improved resolution translates to<br />

better interpretations that are necessary for understanding the evaluation <strong>of</strong> salt tectonics,<br />

structural details, and complex stratigraphy.<br />

1.3 Conclusions and Discussion<br />

Assessing and improving the spatial fidelity <strong>of</strong> s<strong>eismic</strong> imaging through a deterministic<br />

evaluation <strong>of</strong> surface s<strong>eismic</strong> data with velocity modeling and attribute analysis was the<br />

goal <strong>of</strong> this study. I demonstrated a novel approach to modeling velocities <strong>using</strong> well<br />

6

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