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Next: Acknowledgments Up: M. Clapp: Illumination compensation: Previous: Comparison with inversion results

Conclusions

Although the model space weighting operator does help improve the amplitudes in poorly illuminated areas of seismic images, it does not do as good a job as the least-squares inversion. This is largely due to the fact that the weighting operator increases the amplitude of the noise as well as that of the signal. Regularized least-squares inversion does a better job compensating for poor illumination in areas with low signal-to-noise ratios. Inversion also helps to reduce artifacts. However, the weighting operator is substantially cheaper than the inversion, so the decision of which to use in areas of poor illumination becomes dependent on signal-to-noise ratios and available computing power.
next up previous print clean
Next: Acknowledgments Up: M. Clapp: Illumination compensation: Previous: Comparison with inversion results
Stanford Exploration Project
7/8/2003