Least-squares migration/inversion of blended data

conclusions

We present a method based on LSI to directly image the subsurface using blended data sets. This method does not require any pre-separation of the blended shot gathers, and the crosstalk is effectively removed by formulating the imaging problem as a least-squares inverse problem. The inversion examples on the Marmousi model show that LSI can successfully remove the crosstalk that migration generates and optimally reconstruct the reflectivity in the subsurface.