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分形噪声、(多维)分形滤波及地球物理测井典型处理应用
引用本文:李庆谋,刘少华.分形噪声、(多维)分形滤波及地球物理测井典型处理应用[J].物探化探计算技术,2001,23(1):37-42.
作者姓名:李庆谋  刘少华
作者单位:中国科学院地质地球物理研究所,
基金项目:中国自然科学基金资助项目(D49774237)
摘    要:白噪声、布郎运动以及其它满足在双对数坐标中呈一直线的信号具分形结构、自相似性或尺度无关性。地球物理信号通常表现为多个这类信号的叠加,为多维分形特征。研究、模拟在双对数坐标中成一直线的信号以及如何将多维分形中多个这种信号剖分出来,对于理解相应的地质、地球物理成因机制具有重要意义。通过对两口井的地球物理测井曲线处理,可以初步看出,在选定的地球物理测井曲线中,其具多维分形特征,不同的沉积过程相互叠加在原始测井曲线中。用滤波方法分析分解信号,可以了解不同沉积作用特征并进一步分析可能的环境变化控制机制。开发的图形界面程序使得这一过程极为容易实现。

关 键 词:测井曲线  分形滤波  白噪声  分形信号  地球物理勘探
文章编号:1001-1749(2001)01-0037-06
修稿时间:2000年6月23日

FRACTAL NOISE、 MULTI-FRACTAL FILTERING AND THEIR APPLICATIONS TO WELL LOGGING DATA PROCESSING
LI Qing-mou,LIU Shao-hua.FRACTAL NOISE、 MULTI-FRACTAL FILTERING AND THEIR APPLICATIONS TO WELL LOGGING DATA PROCESSING[J].Computing Techniques For Geophysical and Geochemical Exploration,2001,23(1):37-42.
Authors:LI Qing-mou  LIU Shao-hua
Abstract:The white noise, Brown and other signals which present the linear characteristics in the power spectra frequency space with bi logarithm coordinates are of the fractal structure, self similarity and scale independence. Geophysical data are the stack of these kinds of signals and thus present multi fractal characteristics. It is of great significance to simulate, recognize these kinds of signals for understanding the related genesis mechanisms of geological and geophysiccal processes. From the processing results of two well logging data, it can be roughly recognized that the selected well logging curves with multi fractal characteristics are stack responses of the different sedimentary procedures. Therefore, to discompose these signals by filtering can help to understand possible sedimentary dynamic procedures. Finally, a windows software package was developed to achieve the flexibility of the method.
Keywords:multi-fractal  paleoclimate  environment  well logging  multi-fractal filtering
本文献已被 CNKI 维普 万方数据 等数据库收录!
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