论文部分内容阅读
对于裂缝型油气藏,基于叠前方位角地震数据体,利用AVAZ方法进行裂缝属性预测是目前较为有效的裂缝描述手段,然而,由于地震数据通常为窄方位采集,使得不同方位角数据覆盖次数差异较大,导致各方位振幅能量分布不均,最终造成裂缝属性预测中产生趋势性误差。振幅归一化处理技术应用到现有的AVAZ方法中,该方法能够有效地降低因数据采集所造成的趋势性误差,预测结果会更为真实、可靠。在实际油田的应用中,振幅归一化技术显著改善了AVAZ方法对裂缝属性预测的准确性,取得了较好的效果。
For fractured reservoirs, the prediction of fracture properties based on the pre-stack azimuth seismic data body is an effective fracture description method. However, since the seismic data is usually acquired in narrow azimuths, the difference in the coverage of azimuth data Larger, resulting in the uneven distribution of amplitude and amplitude of the azimuths, resulting in the trend error in the prediction of the fracture properties. The amplitude normalization technique is applied to the existing AVAZ method, which can effectively reduce the trend error caused by data acquisition, and the prediction result is more realistic and reliable. In practical oilfield applications, the amplitude normalization technique significantly improves the accuracy of AVAZ method in predicting fracture properties and achieves good results.