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在塔里木盆地山地资料中常常发育有“挂面条”噪声,这类噪声的存在对后续的反褶积等处理影响很大,传统的方法难以对其进行有效的压制。基于空间中值滤波算法的巨浪噪声衰减技术对于此类噪声的衰减效果良好,但其应用存在一些限制条件。通过研究提出了一个突破这些限制的有效解决方案。逐点速度分析技术解决了常规速度分析方法存在的缺陷,它在常规动校正和切除的基础上,进行逐点CMP速度分析并自动生成速度函数。实际处理表明,该技术能进一步提高叠加速度的精度,改善构造复杂区或速度横向变化较大时的叠加成像。
In the mountainous area of Tarim Basin, there are often “noodle” noise. The existence of such noise has a great influence on subsequent deconvolution and other treatments, which are difficult to be effectively suppressed by the traditional methods. The noise attenuation technique based on spatial median filtering algorithm has good effect on the attenuation of such noise, but there are some limitations in its application. Through research, we propose an effective solution to these limitations. Point-by-point velocity analysis technology solves the shortcomings of conventional velocity analysis methods. It performs point-by-point CMP velocity analysis and automatically generates velocity functions on the basis of conventional motion correction and ablation. The actual processing shows that this technique can further improve the accuracy of the stacking speed and improve the superposition imaging when the structure is complicated or the lateral speed changes greatly.