曲率方位加强技术在识别低序级断层中的应用

Application of curvature azimuth strengthening technology to low-level fault identification

刘松鸣 武刚 文晓涛 房环环 李雷豪 谭琴辉3

成都理工大学地球物理学院，四川 成都 610059 成都理工大学油气藏地质及开发工程国家重点实验室，四川 成都 610059 中国石化胜利油田分公司勘探开发研究院，山东 东营 257015

Geophysical Institute, Chengdu University of Technology, Chengdu 610059, China State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China Research Institute of Exploration and Development, Shengli Oilfield Company, SINOPEC, Dongying 257015, China

传统的地震体曲率属性分析通常不能有效利用地震数据中的方位信息，考虑到断层及裂缝发育的方向性，文中提出利用加强的曲率方位信息进行断层分析的方法。由于噪声对体曲率属性分辨率影响很大，对于较难识别的低序级断层，首先通过各向异性扩散滤波对地震数据进行滤波处理，然后通过推导出的方位滤波算子和改进后的体曲率属性进行分方位处理，最后结合三维French模型和实际地震剖面说明文中方法的准确性。研究分析表明：将方位信息与体曲率属性相结合，能够排除非期望方向的信息干扰，突出特定方向的信息，为后期解释提供有力依据；方位加强后的体曲率属性切片效果比常规方法求取的方位体曲率属性分辨率更高，低序级断层显示效果更明显。

Traditional seismic geometric attribute analysis usually does not contain azimuth information. Considering the direction of fault and fracture development, this paper proposes a method of fault analysis based on curvature azimuth strengthening information. Noise has a great influence on the resolution of the curvature attribute. As for the low-level faults that are more difficult to identify, firstly, the seismic data are filtered through the complex field nonlinear anisotropic diffusion filtering, then the derivation of the azimuth filter operator and the improved curvature attribute are processed in different azimuths. Combined with the 3D French model and real seismic section, the accuracy of the method is illustrated. The result of case analysis shows that the combination of azimuth information and seismic curvature attributes can exclude the interference of other undesired directional information and highlight the information in a particular direction, providing a strong basis for later interpretation. The effect of the curvature attribute slice after azimuth strengthening is better than that of the conventional method, and the effect of the low-level faults is more obvious

10.6056/dkyqt201901009