Figure 32 Reflector model for the constant-velocity test
A sinusoidal reflector shown in Figure creates complicated reflection data, shown in Figures and . To set up a test for regularization by offset continuation, I removed 90% of randomly selected shot gathers from the input data. The syncline parts of the reflector lead to traveltime triplications at large offsets. A mixture of different dips from the triplications would make it extremely difficult to interpolate the data in individual common-offset gathers, such as those shown in Figure . The plots of time slices after NMO (Figure ) clearly show that the data are also non-stationary in the offset direction. Therefore, a simple offset interpolation scheme is also doomed.
Figure shows the reconstruction process on individual frequency slices. Despite the complex and non-stationary character of the reflection events in the frequency domain, the offset continuation equation is able to reconstruct them quite accurately from the decimated data.
Figure shows the result of interpolation after the data are transformed back to the time domain. The offset continuation result (right plots in Figure ) reconstructs the ideal data (left plots in Figure ) very accurately even in the complex triplication zones, while the result of simple offset interpolation (left plots in Figure ) fails as expected.
The constant-velocity test results allow us to conclude that, when all the assumptions of the offset continuation theory are met, it provides a powerful method of data regularization.
Being encouraged by the synthetic results, I proceed to a three-dimensional real data test.