to be a one-dimensional problem.
We ignored spatial issues.
The one-dimensional approach seems valid for waves
from a source and to a receiver in the same location,
but an obvious correction is required for shot-to-receiver
*spatial offset*.
A first approach is to apply normal-moveout correction
to the data before deconvolution.
Previous figures have applied a *t ^{2}* amplitude correction
to the deconvolution

Figure 6

Looking in the region of Figure 6 outlined by a rectangle, we can conclude that NMO should be done before deconvolution. The trouble with this conclusion is that data comes in many flavors. On the wider offsets of any data (such as Figure ), it can be seen that NMO destroys the wavelet. A source of confusion is that the convolutional model can occur in two different forms from two separate physical causes, as we will see next.

- A model with both signature and reverberation
- Regressing simultaneously before and after NMO
- A model for convolution both before and after NMO
- Heavy artillery

10/21/1998