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测井信号小波变换在层序地层划分中的应用——以南海北部莺歌海盆地D14井黄流组为例
引用本文:王亚辉,赵鹏肖,左倩媚,钟泽红,李俊良.测井信号小波变换在层序地层划分中的应用——以南海北部莺歌海盆地D14井黄流组为例[J].沉积与特提斯地质,2011(4):58-63.
作者姓名:王亚辉  赵鹏肖  左倩媚  钟泽红  李俊良
作者单位:中海石油(中国)有限公司湛江分公司;中海油能源发展股份有限公司钻采工程研究院湛江实验中心
摘    要:本文介绍了小波变换的基本原理和步骤,探讨了测井信号小波变换在层序地层划分中的方法和地质意义。对南海北部莺歌海盆地D14井黄流组自然伽马(GR)测井信号利用Daubechies小波系db5小波进行了一维连续小波变换和一维离散小波变换。根据其时频色谱图特征和高频离散系数曲线特征,将黄流组一段划分出1个长期旋回、3个中期旋回和9个短期旋回。显示出小波变换在测井层序地层划分中较高的分辨率、在识别地质作用中的隐蔽旋回特征的优势。实践证明,将一维连续小波变换和一维离散小波变换进行综合分析,更有利于不同级次的层序旋回识别。

关 键 词:小波变换  层序地层  测井信号  莺歌海盆地
收稿时间:2011/2/18 0:00:00
修稿时间:2011/3/23 0:00:00

An application of the wavelet transformation to sequence stratigraphy: A case study of the Huangliu Formation in the Yinggehai Basin, northern South China Sea
WANG Ya-hui,ZHAO Peng-xiao,ZUO Qian-mei,ZHONG Ze-hong,LI Jun-liang.An application of the wavelet transformation to sequence stratigraphy: A case study of the Huangliu Formation in the Yinggehai Basin, northern South China Sea[J].Sedimentary Geology and Tethyan Geology,2011(4):58-63.
Authors:WANG Ya-hui  ZHAO Peng-xiao  ZUO Qian-mei  ZHONG Ze-hong  LI Jun-liang
Institution:1 (1.Zhanjiang Branch,CNOOC,Zhanjiang 524057,Guangdong,China;2.Zhanjiang Laboratory Center,CNOOC,Zhanjiang 524057,Guangdong,China)
Abstract:The present paper gives an introduction of the terminology,principle,method and significance of the wavelet transformation in sequence stratigraphic division.The gamma-ray logging data for the D14 well in the Yinggehai Basin are explored with the aid of db5 wavelet in one-dimensional continuous wavelet transformation and one-dimensional discrete wavelet transformation,respectively.One long-term cycle,three medium-term cycles and nine short-term cycles are discriminated for the first member of the Huangliu Formation according to the time-frequency chromatogram and high-frequency discrete coefficient curves.The results of the study show that the wavelet transformation may provide a tool for the division of high-resolution logging sequence stratigraphy and recognition of subtle sequence cycles.The integration of one-dimensional continuous wavelet transformation and one-dimensional discrete wavelet transformation will be more favourable for the recognition of sequence cycles of varying orders.
Keywords:wavelet transformation  sequence stratigraphy  logging signal  Yinggehai Basin
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