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We demonstrated a method for imaging both primaries and multiples using linearized full-wave inversion (LFWI). LFWI not only increases the sub-surface illumination by using the multiple energy as signal, but also addresses the issue of crosstalk in the image. We demonstrate the concept and methodology with a 2D layered model and the Sigsbee2B model.

Figure 9.
(a) Migration with the noisy primary data, (b) inversion with the noisy primary data, (c) migration with the primary-multiple data, (d) inversion with the primary-multiple data, (e) reflectivity model, and (f) velocity model.
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