Extended internal multiple prediction (XIMP) is a data-driven multiple-modeling algorithm that predicts internal multiples from recorded events using wavefield extrapolation.
The method does not require a prior velocity function to differentiate between primaries and internal multiples.
XIMP uses the onset times of the multiple-generating events in the seismic data to provide an accurate model of the multiple energy that can then be removed using adaptive subtraction.
In areas of moderate structural complexity, XIMP can handle any acquisition geometry and predict multiples at true azimuth. It is applied fully in 3D and works with both land and marine datasets. The workflow addresses challenging internal multiples that are difficult to attenuate while also preserving primaries.
Move the slider to see poststack time migration after multiple attenuation using 3D GSMP algorithm (left) and after multiple attenuation using both 3D GSMP prediction and XIMP (right). (Data examples courtesy of Kuwait Oil Company.)
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