Target-oriented wavefield tomography using demigrated Born data |

**Yaxun Tang and Biondo Biondi**

We present a method to reduce the computational cost of image-domain wavefield tomography.
Instead of using the originally recorded data for velocity estimation, the proposed method
simulates a new data set obtained using Born modeling or demigration based on the initial
image and gathers. The modeling can be performed in a target-oriented fashion,
and it can use arbitrary types of source functions and acquisition geometries.
Hence the size of the new data set can be substantially smaller than the original one.
We demonstrate with numerical examples that the new data set correctly preserves
velocity information useful for velocity estimation, and that it generates wavefield-tomography gradients similar to that obtained using
the original data set. We apply the proposed method
to a modified version of the Sigsbee2A model, where two square anomalies below
the salt have been successfully recovered in a target-oriented fashion at a much lower computational
cost.

- introduction
- Target-oriented Born wavefield modeling
- tomography using demigrated data
- tomographic inversion results
- conclusions
- Bibliography
- About this document ...

Target-oriented wavefield tomography using demigrated Born data |

2010-05-19