De-Multiple and De-ghosting

To obtain the best migrated image, we must supply input data free of false reflections with the widest true frequency range possible. Failing this, the output image will be corrupted by multiple reflections causing false structure and lower resolution.

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Industry standard de-multiple approaches are limited by water depth, offsets and sampling. They require a long and tedious workflow which often fails to effectively remove multiples. Similarly, standard de-ghosting routines cannot record low end frequencies and also result in poor resolution in the high frequencies.

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In contrast, eMULT is not limited by water depth, offsets or sampling. eMULT combines multiple modelling and adaptive, non-stationary subtraction techniques, where the multiple model represents all orders of multiple. eMULT preserves amplitudes and removes multiples without destroying primary energy.  This yields gathers with higher signal to noise ratio and a cleaner migration which means amplitudes are preserved for rock properties and inversion.