Case Study - Residual Scattered Noise Attenuation for 3D Land Seismic Data

We show that residual scattered noise can be predicted and subsequently subtracted from a point-source, point-receiver 3D land-seismic dataset. We use a modified form of seismic interferometry that allows wavefields to be predicted between sources and receivers provided one of the inputs can be replaced by a model. We use a simple model of the direct ground roll as one input, and use recorded data containing residual scattered noise as the second input for interferometry. We show that the removal of a layer of low-frequency residual scattered noise leads to better continuity of horizons within the stacked sections, providing more reliable data for interpretation.