Multicomponent Adaptive Noise Elimination

Prestack noise attenuation for enhancing signal-to-noise ratio

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Removes ground roll from multicomponent data

Multicomponent adaptive noise elimination (MANE) is a prestack noise attenuation method designed to enhance the signal-to-noise ratio of ocean bottom seismic data. This method produces a noise model from information contained in the radial and transverse data components. The model can then be adaptively subtracted from the vertical component, removing noise such as ground roll while preserving signal and direct arrival energy.

Enhanced signal-to-noise ratio of multicomponent data
MANE removes noise while preserving signal and direct arrival energy on the vertical component.