Seismic data can be modelled by spreading energy along a diffraction shape. Energy spread along the diffraction should be a wavelet that is high cut filtered. However, single time samples are often used to reduce the computer runtime, but will introduce aliasing artifacts. Additional filtering techniques may be required to reduce these artifacts. Diffraction modelling is used to illustrate the differences in the amplitudes of diffractions produced from a scatterpoint or from the termination of a reflector. This type of modelling introduces a phase shift to the data that require correction for accurate modelling. Aliasing artifacts may be produced, especially from horizontal reflectors. These problems are illustrated, discussed, and evaluated.
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