Internal multiple attenuation (IMA) has long been regarded as a challenging problem in seismic data processing. The major difficulty stems from the need of identifying the multiple-generating interfaces for IMA.We present and compare two advanced IMA methods that a-priori knowledge about the multiple-generating interfaces is not required in the modeling process. The two approaches are inverse scattering series (ISS) and our methodology based on the convolution-correlation process. We describe our implementation procedure that involves segmenting the input data into different time windows and using a sliding-window approach to ensure that all the top multiple-generating interfaces are included in the modeling process so that internal multiples of all orders can be predicted without any subsurface information. We also discuss and compare the different assumptions made in ISS and our approach for IMA. We show the application of the two methods for handling internal multiples on both the synthetic and field data from the Tupi oilfield in the Santos Basin and on the field data acquired offshore Australia.


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