四维地震数据的归一化方法及实例处理

NORMALIZATION FOR FOUR-DIMENSIONAL SEISMIC DATA AND ITS APPLICATION TO REAL DATA

在四维地震油藏监测技术应用中，四维地震数据由于不同时间的采集与处理以及噪音等因素的影响，在地震剖面上存在很多不合理差异。为了获得真正由于油藏内部油气水变化引起的地震响应差异，必须对四维地震数据体进行归一化校正。针对四维地震数据在时间、振幅、频率和相位方面的差异，论述了四维地震数据归一化处理的原理，提出了寻找最佳匹配滤波器获得校正归一化算子的处理方法；对国外某一地区的一块四维地震资料进行了实际处理，结果是令人满意的，表明了方法的有效性。

In four-dimensional (4-D) seismic reservoir monitoring, due to different vintages of data requisition and processing philosophies,as well as noisy factor,4-D seismic data have significant unreasonable differences between two profiles. In order to obtainthe real seismic differences resulting from the changes of oil,gas and water in reservoir,4-D seismic datasets should be well normalized. In this paper,we discussed the principle of normalization processing for 4-D seismic data focusing on the differences inseismic time,amplitude,frequency and phase. A processing method based on finding a best match filter is presented. Then thenormalization processing for timelapse seismic has been applied to the field 4-D data. The normalized results are satisfactory,which shows that the method is effective.