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Reflectors other than the seabed also produce pegleg multiples, and the strength
of these events sometimes rivals, and even surpasses, the strength of the seabed
peglegs. The Mississippi Canyon dataset, with its shallow tabular salt body,
falls into this category. Figure shows the stack of this
data, with important reflectors and multiples labeled.
Computationally, the extension of this joint imaging method to include non-seabed
peglegs is straightforward. We need only add an index for the multiple
generating layer (*m*) to equation (2), where we model
*n*_{surf} multiple-generating layers in the data.

| |
(9) |

Physically, however, modeling non-seabed peglegs requires some additional
thinking. Notice that all modeling operators in equation
(9) have an extra index.
Brown (2003a) discusses how to extend the HEMNO operator
() to non-seabed peglegs, while Brown (2003b)
discusses how to extend , , and .The regularization operators all remain the same, though non-seabed peglegs add
additional crosstalk energy that must be modeled when the crosstalk weights are
generated.

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Stanford Exploration Project

7/8/2003