【摘要】 小波函数在时间域和频率域均具有良好的局部化特征,运用小波函数对地震信号进行变换处理,能够提取体现地质体宏观与微观特征的属性参数。在Compaq Visual Fortran环境下,调用Matlab小波工具箱中的函数与命令进行混合编程,能够快速、准确地实现地震信号的多尺度分析,提取体现地质体频率属性的最佳尺度参数。运用Compaq Visual Fortran卓越的计算功能完成较大数据文件的读取,再调用Matlab中丰富的小波函数及其它数学函数库,实现地震信号的各类计算,可有效地减轻程序编写的难度,提高工作效率,缩短研究周期。在含油气的地质体中,尺度参数越大,频率衰减则更加突出,最佳的尺度参数能为油气预测提供重要的参考信息。该方法已在川西坳陷深层须家河组新场地区含气性检测中推广试用,所获得的异常区段与多口测井含气段吻合良好。更多还原

【Abstract】 As a wavelet function has good localizing characters in time and frequency domain, its application in the transformation of the seismic signal can obtain the attribute parameters being able to embody the macrocosmic and microcosmic characters of the geologic body. In Compaq Visual Fortran language, we design the program by calling the functions and commands of the Matlab wavelet tools, then analyze the multi-scale characters of the seismic signal and obtain the optimal scale parameters of the frequency attributes. The process of program is easier, more efficiency and less time-consuming by using the super calculation power of Compaq Visual Fortran to read the data files, and calling abundance wavelet functions of Matlab. Optimal scale parameters can offer important reference information to predict the gas and oil, the practice of this method to process the seismic data of the deep Xujiahe formation gas reservoirs in west Sichuan depression proves that the abnormal sections are corresponding well to the gassy sections.更多还原