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测井数据小波变换在层序地层分析中的应用研究 被引量:7

An Applied Research on Well Logging Data Wavelet Transform in Sequence Stratigraphic Analysis
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摘要 以柴达木盆地北缘某钻井中侏罗统的层序地层划分为例,对各种一维连续小波在地层划分中的效果进行尝试,发现采用db5小波用于层序划分较为理想。通过利用db5小波对自然伽马测井数据进行连续小波变换,将测井信号与深度的关系转换为与深度及尺度域的变化关系,以此识别出了层序界面。利用该小波变换进行的层序地层划分,与传统方法划分的结果基本一致。 To take a borehole sequence stratigraphic division of Middle Jurassic Series in north margin of Qaidam Basin as an example, have tried various linear dimension continuous wavelet stratigraphic division effects, found that the db5 wavelet is ideal in the division. Through the use of db5 wavelet gamma-ray well logging data continuous wavelet transform, conversed the relations between logging signal and depth into varying relations between depth and scale domain, with the result that the sequential boundaries have identified. The division result from wavelet transform is basically the same with traditional method.
出处 《中国煤田地质》 2007年第4期70-73,共4页 Coal Geology of China
关键词 测井数据 小波变换 db5小波 层序 层序界面 Oil well logging data Wavelet transformation db5 wavelet Sequence Sequence contact surface
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