Imaging with multiples using linearized full-wave inversion

Imaging with multiples using linearized full-wave inversion

Mandy Wong, Biondo Biondi, and Shuki Ronen

Abstract:

We presents a technique for imaging both primaries and multiples using linearized inversion. When used with a suitable migration velocity model, linearized full-wave inversion (LFWI) makes use of the multiple energy as signal while removing the crosstalk in the image. By using the two-way propagator in both modeling and migration, we can image a class of multiply scattered events. Such events can scatter off sharp-interfaces in the migration velocity many times but only interact with the (reflectivity) model once. We demonstrate the concept and methodology in 2D with a synthetic Sigsbee2B model.