After the procedure of multiple modeling, adaptive subtraction is important for removing seismic multiples. The mismatches between the modeled multiples and true multiples are frequency-dependent. The traditional filter method combining… Click to show full abstract
After the procedure of multiple modeling, adaptive subtraction is important for removing seismic multiples. The mismatches between the modeled multiples and true multiples are frequency-dependent. The traditional filter method combining the modeled multiples themselves cannot remove the mismatches effectively and may cause residual multiples. In this letter, we partition the modeled multiples into three frequency bands, which are low-, middle-, and high-frequency bands. Then, the three frequency bands of the modeled multiples are combined with the filter to match with the original data. Since the three frequency bands express more information than the modeled multiples themselves, the proposed filter method can remove more residual multiples than the traditional filter method.
               
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