Data Space

We first applied adaptive subtraction to the Mahogany data set in data space. Since the water bottom is fairly shallow (approx. 118 m), the water-bottom multiples are the most dominant multiples in the data set. Figure  shows one CMP, between 2 s and 4 s. This figure shows, from top to bottom: A) the multiple model; B) the result of the adaptive subtraction, the estimated primaries; C) the filter obtained with the multiples model for performing the subtraction; and D) the original data set.

Many multiples were totally eliminated, while others where partially eliminated. The results are comparable throughout the data set. The shallow multiples, while they were partially eliminated, still retain some energy. As we will see in the next sections, this remaining energy will still interfere with an otherwise accurate final image.

 

dspace_4panel
Figure 3 Data space multiple removal. From top to bottom: A) multiple model; B) Primaries; C) Filter; D) Data.