Alkhalifah (1997a) extracted anisotropy parameters from field data from offshore Angola. These parameters, when used to migrate the data, result in improved images of the subsurface, including better fault reflection focusing. Since, the data set corresponds to a 3-D marine survey, with some source-receiver azimuth variations in the original data, the application of AMO might improve the data. Using the inverted anisotropic parameters, I will generate AMO operators applicable to this data set, and compare these operators with the conventional isotropic homogeneous-medium operator.
Figure 14 shows the anisotropic parameters extracted from the Angola data set. Clearly, the level of anisotropy in Angola, given by these parameters, is strong. Figure 15 shows a side and a top view of the AMO operator that resulted from the parameter in Figure 14, corresponding to a correction only to azimuth of 30 degrees. The input NMO-corrected time for the operator is 2.5 s. The operator, as expected from such a strong anisotropy, has triplications and has a somewhat complicated shape. Such triplications can be seen more clearly in Figure 16, which shows the inline and crossline components of the operator in Figure 15, separately. Most of the complications in the operator arise from the anisotropy in the medium, not the vertical inhomogeneity. As evidence, Figure 17 shows the 30-degree azimuth correction operator corresponding to an isotropic v(z) medium, with velocity given by Figure 14 (left). The operator, absent anisotropy, looks very similar to the conventional operator for isotropic homogeneous media.