Attenuation of the coherent and scattered surface-wave noise for land seismic data is very critical to the data processing to produce high-resolution images and to extract reliable seismic attributes for the reservoir characterization. Conventional noise attenuation methods are usually not effective to remove the aliased components of coherent noise and also not effective to address the apices of the scattered surface waves. Here we present the application of a new model-based surface wave attenuation technique that is based on data-driven modeling of multiple modes of aliased direct and diffracted noise for the seismic data from Sulige tight sand gas reservoir in China. The surface consistent propagation properties of the surface waves are estimated first. The direct noise is modeled and then the scattering model is built by the integration of all possible diffractors. All of the noise models are finally subtracted from the raw data. In this paper, we demonstrate a successful case study how this new technology can be used to help the improvement of the signal to noise ratio and the fidelity of seismic data with the finest resolution and sufficient amplitude preservation.


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