Velocity-stack inversion using Lp norms
نویسنده
چکیده
Velocity-stack inversion is the process of creating a model in velocity space that can correctly reconstruct the measured data. This is usually implemented by minimizing the L2 norm of the data misfit and the L2 norm of the model. Superior velocity space images, with a better separation of primaries and multiples, can be created by minimizing a different norm of the data misfit and a different norm of the model length. Norms closer to the L1 norm appear to be better at rejecting impulsive noise and creating a spiky model.
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تاریخ انتشار 1994