Abstract：Due to the difficult data processing during lithologic target exploration in the Shawan Sag, Junggar Basin, a technical process of seismic data processing for fine lithologic target recognition is created with the characteristic processing technologies of the GeoEast system. Specifically, amplitude-preserving noise suppression for lithologic targets is achieved with the Karhunen-Loeve (KL) transform-based linear noise attenuation technology, the near-source high-energy interference suppression technology, and the prestack coherent noise suppression technology. In the aspect of resolution improvement, the spatial consistency of the wavelets is enhanced by variable spatial step deconvolution. On this basis, the surface-consistent deconvolution technology is employed to maximize the resolution of seismic data and thereby satisfy the needs of lithologic exploration. As for multiples, the multiple suppression technology based on high-precision Radon transform and the technology of internal multiple prediction based on post-stack inverse scattering and adaptive matching subtraction are combined to effectively suppress the multiples step by step. Actual data processing reveals that the quality of seismic results obtained in the above process is significantly better. The stratigraphic contact relationships in the Permian are clear, and small fractures and thin sand bodies are characterized distinctly. In this way, the technologies discussed strongly support the exploration of stratigraphic-lithologic oil and gas in the Shawan Sag.
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