摘要
浅层地震资料具有目的反射层较浅,覆盖次数较低,地表干扰较强,信噪比与分辨率较低等特点,要获得高质量的浅层地震解释剖面一直是数据处理的一大难题。本文针对其难点,研究出一套以叠前组合去噪技术、自适应预测反褶积技术、各向异性动校正与高精度速度分析、Kirchhoff叠前时间偏移成像等关键技术为核心的处理方法,应用效果表明基于本套处理方法得出浅层地震解释剖面中断层的成像效果可以满足后期精细化地质解释的要求。
Shallow seismic data had the characteristics of shallow target reflection layer,low covering degree,strong surface interference and low signal-to-noise ratio and resolution,to obtain high-quality shallow seismic interpretation sections had always been a major challenge in data processing.In this paper,according to its difficulties,a set of key technologies such as prestack combinatorial de-noising,adaptive predictive deconvolution,anisotropic dynamic correction and high-precision velocity analysis and Kirchhoff prestack time migration imaging were developed.The application effects showed that the imaging results of the faults in the shallow seismic interpretation section obtained based on the processing methods could meet the requirements of later refinement geological interpretation.
引文
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