基于各向异性扩散滤波的地震资料噪声压制方法分析与研究

Analysis and research on seismic data noise suppression method based on anisotropic diffusion filtering

一般情况下,由于各种因素的影响,地震数据中都会存在一定的噪声,这些噪声会影响构造解释及储层预测的精度,从而会影响后续井位部署以及油气勘探的成功率。从模型试验和实际应用结果可以看出,相对于传统的滤波方法,各向异性扩散滤波,不但可以压制地震资料的噪声,提高地震资料的品质,而且可以有效保护地震资料的边界和断点等构造信息,从而为后面的构造解释、属性提取以及储层预测提供更好的数据基础。

Generally,due to the influence of various factors,there will be some noise in seismic data,which will affect the accuracy of structural interpretation and reservoir prediction,thus affecting the subsequent well deployment and the success rate of oil and gas exploration.From the results of model test and practical application,it can be seen that compared with the traditional filtering method,anisotropic diffusion filtering can not only suppress the noise of seismic data,improve the quality of seismic data,but also effectively protect the boundary and breakpoint of seismic data and other structural information,so as to provide a better data basis for the later structural interpretation and reservoir prediction.