Test case for PEF estimation with sparse data II |

Claerbout (2000) proposes a test case for which the Gaussian curvature of the model vanishes. In this paper, we present an even simpler test case. Given a 2-D random field, we deconvolve with a known dip (or steering) (Clapp et al., 1997) filter to obtain a ``plane wave'' model, as shown in Figure 1. To simulate collected ``data'', we sampled the model of Figure 1 at about 60 points randomly, and about two-thirds of the way down one trace in the center. The results are shown in Figure 2.

model
True model - plane waves dipping at .
Figure 1. | |
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data
Left: Collected data - one known trace, about 60
randomly-selected known data points. Right: Known data selector.
Figure 2. |
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Test case for PEF estimation with sparse data II |

2016-03-17