【摘要】 本文从增强地震图像、突出地震几何属性的角度出发,提出了一种基于倾向扩散因子的构造方向滤波(SOF)地震图像增强方法。该方法首先用复数道信息估算出倾向,并利用倾向信息对地震图像的不连续性进行检测,进而求出倾向扩散因子和构造张量,最后用各向异性扩散算法对地震剖面进行平滑。实际资料的应用结果表明,该方法不仅具有较强的抑制噪声能力,而且增强了侧向反射同相轴的连续性,有利于解释人员提取有用的地震几何属性,精细地解释地下目标构造。更多还原

【Abstract】 In order to enhance the seismic image and highlight the seismic geometric attributes,a SOF seismic image enhancement method based on the dip diffusion factor was proposed in this paper.The complex channel information was firstly used to estimate the dip information,with which the discontinuity of the seismic image was detected,then the dip diffusion factor and the structure tensor were estimated,and at last the anisotropy diffusion algorithm was used to smooth the seismic sections.The application results of the field data show that the method not only has a strong ability to suppress noise,but also could enhances the continuity of the lateral reflection events,the method is also conducive for the seismic interpreter to extract useful seismic geometric attributes,and to finely interpret the subsurface target structures.更多还原