A Deterministic Evaluation of eismic Fidelity using Velocity Modeling ...
A Deterministic Evaluation of eismic Fidelity using Velocity Modeling ...
A Deterministic Evaluation of eismic Fidelity using Velocity Modeling ...
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etween each horizon throughout the velocity model. Using well logs to generate the<br />
initial sediment velocity provides a novel approach to generating an accurate velocity<br />
model for PSDM resulting in higher fidelity for 3-D surface s<strong>eismic</strong> land data.<br />
I demonstrated how to derive an accurate initial sediment velocity model by <strong>using</strong> the<br />
depth interval velocities from sonic logs. Methods developed and used in the study<br />
resulted in a more accurate initial sediment velocity model than one derived from s<strong>eismic</strong><br />
data and the methods are more efficient than s<strong>eismic</strong>ally derived initial sediment velocity<br />
models. What is not resolved is if these results are particular to this case study alone.<br />
The conclusion is that because 3-D surface s<strong>eismic</strong> land data are prone to low signal-tonoise<br />
ratios for several reasons, an initial sediment velocity model derived from sonic<br />
logs will reduce the adverse effects <strong>of</strong> the noise. Further updates will not be prone to<br />
maintaining spurious data frequently introduced to the data that use traditional s<strong>eismic</strong> or<br />
prestack time migrated velocity models for the PSDM. I found that by minimizing the<br />
effects <strong>of</strong> spurious data <strong>using</strong> the well-based velocity modeling approach for the initial<br />
sediment model it is appropriate to use a traditional flow to update the velocity model and<br />
re-migrate the data to further enhance the fidelity.<br />
I investigated <strong>using</strong> attribute analysis, specifically <strong>using</strong> coherence as a QC tool in this<br />
study. Use <strong>of</strong> this method provides another tool for velocity modeling, especially for the<br />
critical initial sediment velocity model. Applying coherence as a QC tool was efficient<br />
and allowed a qualitative assessment <strong>of</strong> velocity models. There is a need for QC tools for<br />
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