||Subsalt imaging by target-oriented wavefield least-squares migration: A 3-D field-data example||
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Subsalt imaging by target-oriented wavefield least-squares migration: A 3-D field-data example
Yaxun Tang and Biondo Biondi
We pose the reflectivity-imaging problem as a linear inversion problem
and solve it in the image domain in a target-oriented fashion.
The most computationally intensive part of the image-domain inversion
is the explicit computation of the Hessian matrix.
We show how we can overcome the cost issue by using the phase-encoding technique
in the 3-D conical-wave domain.
We apply the inversion-based imaging methodology to a 3-D
field data set acquired from the Gulf of Mexico (GOM), and we precondition
the inversion with non-stationary dip filters, which naturally incorporate
interpreted geological information. Numerical examples
demonstrate that imaging by regularized inversion successfully recovers the reflectivities
from the effects of uneven illumination, yielding images with more balanced amplitudes
and higher spatial resolution.