Prediction and removal of internal multiples using an improved CFP approach

Prediction and removal of multiples play an important role in the geophysical exploration. Currently, study on multiples mainly lies on the surface multiples. We focus on extending the shot and receiver to the interface to generate internal multiples or to the nearby interface to realize the reconstruction of the base level. The reconstructed base level is considered as a new free surface. Using Surface-Related Multiple Suppression (SRME) method, we first forecast the internal multiples on each layer, and then we remove the multiples using matching and subtracting methods. We apply the proposed approach and workflow to synthetic and real data, which illustrates the internal multiples are predicted and removed well using the proposed approach. Note: This paper was accepted into the Technical Program but was not presented at IMAGE 2022 in Houston, Texas.