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地震数据的噪声往往覆盖了有用的地质信息,需要对地震数据进行滤波处理.在滤波处理过程中,为减少噪声对地震解释带来的假象,形成了很多相关的技术.但在地震解释滤波质量控制方面所做的研究工作很少.因此,建立叠后储层地震滤波质量控制标准,可以提高地震数据的品质及减少地震解释的假象.根据滤波前后地震资料的合成地震记录相关系数、信噪比地震属性以及时频特征三个方面对叠后储层地震资料滤波处理进行质量控制,通过对比处理前后地震资料发现:滤波后地震资料井震相关系数得到提高;滤波前后均方根地震属性变化大的地方对应信噪比属性值较小,且滤波前后地震剖面及属性与信噪比剖面及属性均具有较好的对应关系;在频谱上,滤波前后频带宽度、主频和能量保持一致.以上对地震滤波处理的控制方法中,经实际结果检验及分析可以看出,滤波前后地震资料的时频特征一致性是保证滤波质量的重要手段,另外信噪比以及与信噪比相关的地震剖面及属性在评价地震资料滤波合理性上也优于合成记录及常规地震属性对地震资料滤波质量的评价.针对叠后断裂检测实例,据该滤波质量控制标准,确保断裂检测精度.
The noise of seismic data often covers useful geologic information and needs to filter the seismic data.In the process of filtering, many related technologies are formed to reduce the illusion of noise on seismic interpretation.But in seismic interpretation filter quality Therefore, the establishment of post-stack seismic quality control standards for seismic filtering can improve the quality of seismic data and reduce the illusion of seismic interpretation.According to the correlation coefficients of synthetic seismic records before and after the seismic data, the signal-to-noise Compared with seismic attributes and time-frequency features, the quality control of post-stack seismic data filtering is carried out. By comparing the seismic data before and after processing, it is found that the correlation coefficient of post-seismic seismic data increases and the mean square root mean square seismic attributes before and after filtering Large values of signal-to-noise ratio correspond to small values. Before and after filtering, the seismic profiles and attributes have good correspondence with signal-to-noise ratio profiles and attributes. Before and after filtering, the bandwidth, frequency and energy of filter remain the same. The above seismic filtering process control method, the actual results of the test and analysis can be seen that the filter The consistency of time-frequency features of post-seismic data is an important means to ensure the filter quality. In addition, the signal-to-noise ratio and signal-to-noise related seismic profiles and attributes are also superior to synthetic records and conventional seismic attributes in evaluating the seismic data filtering rationality Seismic data filtering quality evaluation.According to the examples of post-stack fracture detection, according to the filter quality control standards to ensure fracture detection accuracy.