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在地震勘探中,很多因素都会使地震数据中含有一定的噪音,在一定程度上影响后续处理、解释以及储层预测的效果。传统的地震资料去噪方法会对数据的边缘造成一定的损伤,而各向异性扩散滤波方法不仅可以去除地震资料中的噪音,还可以保持和增强数据的边缘特征。本文首先对各向异性扩散滤波技术的基本原理进行了简要介绍,然后通过模型正演验证了该技术的有效性,最后对实际的叠前和叠后地震资料进行了处理及分析,结果表明,该方法的去噪效果比较好,明显提高了资料的清晰度和信噪比,可为处理、解释及储层预测提供更好的地震资料。
In seismic exploration, many factors will make the seismic data contain a certain amount of noise, to a certain extent, affect the follow-up treatment, interpretation and reservoir prediction. The traditional seismic data denoising method will cause some damage to the edge of the data, and the anisotropic diffusion filtering method can not only remove the noise in the seismic data, but also maintain and enhance the edge features of the data. In this paper, the basic principle of anisotropic diffusion filtering is briefly introduced. Then the validity of this technique is verified by forward modeling. Finally, the actual prestack and poststack seismic data are processed and analyzed. The results show that, The denoising effect of this method is better, and the sharpness and signal-to-noise ratio of data are obviously improved, which can provide better seismic data for processing, interpretation and reservoir prediction.