||Least-squares migration/inversion of blended data||
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Least-squares migration/inversion of blended data
Yaxun Tang and Biondo Biondi
We present a method based on least-squares migration/inversion to directly image data
collected from recently developed wide-azimuth acquisition geometries, such as
simultaneous shooting and continuous shooting, where two or
more shot records are often blended together. We show that by using least-squares
migration/inversion, we not only enhance the resolution of the image,
but more importantly, we also suppress the
crosstalk or acquisition footprint, without any pre-separation of the blended data.
We demonstrate the concept and methodology in 2-D and apply the data-space inversion
scheme to the Marmousi model, where an optimally reconstructed image, free from
crosstalk artifacts, is obtained.