The effects of seismic data conditioning on pre-stack AVO/AVA simultaneous inversion

Seismic data used for pre-stack inversion should have high quality. To improve the seismic data quality of Xinglongtai area, Liaohe western sag, and make the AVO anomaly characterizes of gathers same as synthetics, this paper employs three conditioning processes-multiple removal, random noise attenuation, and gather flattening. After data conditioning processing, a comparison of wavelets extracted separately from the raw and conditioned angle stacks found amplitude and phase spectra to be much more stabilized in 0~42 Hz. The seismic/synthetic inversion residuals of target area shows at least 20% drop in amplitude. Finally, the AI/SI cross-plot shows a much more compact signature that is more available for lithology discrimination and precise reservoir prediction. All these improvements show the importance of data quality on pre-stack inversion.