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Data Calibration

Data calibration is a necessary pre-processing step for the integrated inversion since the surface reflection data and VSP data not only have random errors, but also may have correlated errors Brown and Clapp (2001). The correlated errors must be removed before the data are used together for velocity inversion. In addition, different data sets may be pre-processed by different processors with different standards, which also require us to calibrate different data sets before they are input to tomography solver.

For the synthetic model used in this paper, the data are generated without introducing noise. Therefore, I do not consider data calibration in this paper and leave it for future work.


next up previous print clean
Next: General principles of tomography Up: Methodology Previous: Methodology
Stanford Exploration Project
7/8/2003