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Conoco, Ponca City, Oklahoma, U.S.
Corresponding author: Steve.J.Hill@usa.conoco.com
| The first 20% of the full text of this article appears below. |
For years, seismic processing geophysicists used dip moveout (DMO) to alter the acquisition geometry. Our industry has found many uses for DMO because it converts the timing of nonzero-offset data to the timing of zero-offset data. More recently, theoreticians created data mapping as a generalization of the principle behind DMO. Data mapping converts data obtained at an observed offset and azimuth to data at a new offset and/or azimuth. The precise derivation of the data mapping resides in an arduous solution of the wave equation. Thus, data mapping transformations may appear magical. This article provides a simple, geometric understanding of the data mapping transformation.
Before turning to the more general 3-D case, we first present the 2-D case. For the 2-D case, data mapping transforms data obtained at one offset distance into data "observed" at a second offset distance. To understand this procedure, we will use one principle, one requirement, and two assumptions. The principle is linear superposition and the requirement is physical invariance. For conceptual convenience, we assume reflection coefficients do not change with offset, and we also assume a constant velocity earth.
The principle of linear superposition simplifies our task. As shown in Figure 1, it allows us to construct any input data from a linear superposition of spikes or impulses. In addition, data-mapped output is a linear superposition of data-mapped spike responses. Consequently, we need to understand only the data-mapping operation on a single spike at an arbitrary location.
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The constant velocity assumption
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