一种优化数据量以提高地震速度分析精度的方法
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摘要
地震速度分析贯穿于地震资料处理的整个过程,速度分析的精度影响到最终地震成像的质量。当地震资料覆盖次数不高或信噪比较低时,地震速度谱能量团发散,这种情况下常采用多面元组合的方式来增加参与速度分析的数据量。通过对速度分析数据量及数据面元大小的影响进行分析,提出了采用椭圆形数据面元组合方式优化参与速度分析的数据量,消除远离速度分析中心点数据的各向异性对速度分析精度的影响,从而提高中深层速度分析精度的方法。将该方法应用于胜利油田济阳坳陷实际资料处理,在一定程度上提高了速度分析的精度。
The whole seismic data processing needs velocity analysis,and the precision of velocity analysis impacts the final quality of seismic imaging.When the fold is not high or the S/N is low,the energy group of seismic velocity spectrum is scattered.In this condition,multi-bin array is often used to increase the data quantity of velocity analysis.By analyzing the influence of data quantity and the data bin size,we proposed to adopt ellipse data bin array to optimize the data quantity participating in velocity analysis and eliminate the influence of the anisotropy of the data away from central point on the precision of velocity analysis.By this means,the precision of velocity analysis in middle-deep layers can be improved.The method was applied to the actual data processing and the precision of velocity analysis was increased to some degree.
引文
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