The two-dimensional t-x technique predicts linear events with a two-dimensional time-space domain filter. This filter is calculated by minimizing the energy inside a window with a conjugate-gradient routine (Claerbout [1992a]). The filters used in the examples in this article have this form:

(1) |

As an example of a calculated filter,
a flat event in a noiseless window produces a filter with all
zeros except on the row containing the 1, where each of the
*a _{01}*,

The choice of the filter size depends on the size of the window, the maximum dip in the data, the number of dips within the window, and the desired strength of the prediction effect. To keep the application of the calculated filter symmetrical, the filter is applied in both forward and reverse directions in space, with the results averaged.

The process of applying t-x prediction, as well as the f-x prediction discussed next, is applied to windows small enough for events of interest to appear linear. After filtering, these windows are merged to produce the output image.

11/16/1997