【摘要】 本文在阐明二维小波变换用于地震属性数据基本原理的基础上,建立了小波变换用于图像多尺度边缘检测的有效流程。根据地震层位数据形成的二维图像的特点,构造有效的小波基函数和尺度函数,提高图像边缘检测和图像分割的精度。为了提高运算效率,对算法和小波滤波器进行了优化设计,并将该方法应用于研究裂缝的分布,为油气储层预测提供依据。通过对研究区实际资料的处理并与阈值检测法及Sobel检测法对比,表明该方法是有效和可行的。更多还原

【Abstract】 On the basis of expounding the basic principle using 2-D wavelet transform for seismic attributes data,the paper built up the effective flow used for multi-scale edge detection of image. According to the characters of 2-D image formed by seismic horizons data,the effective basic function and scale function of wavelet ware constructed, which improved the precision of image edge detection and image partition. In order to improve the computational efficiency,the optimum designs of algorithm and wavelet filter were implemented and application of the method to study the distribution of fracture, providing foundation for the prediction of oil/ gas reserve. It is proved by the processing of real data in studied areas and in comparison with threshold method and Sobel method that the method is effectiveness and feasibility.更多还原