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小波变换在层序地层分析中的应用
引用本文:李正,孙超,严恒,马兵兵,曾令奇. 小波变换在层序地层分析中的应用[J]. 承德石油高等专科学校学报, 2012, 14(2): 21-25. DOI: 10.3969/j.issn.1008-9446.2012.02.009
作者姓名:李正  孙超  严恒  马兵兵  曾令奇
作者单位:1.西南石油大学资源与环境学院,四川成都,610500;2.中国石油青海油田测试公司,甘肃敦煌,736202;3.中国石化河南油田,河南南阳,473132;4.中国石油川庆录井公司,四川成都,715400
摘    要:小波变换是进行测井层序地层研究的重要辅助手段。以辽河盆地东部凹陷XK地区沙河街组地层沙三段为例,对测井曲线应用一维连续小波变换,并借助于小波变换后的某个尺度下的小波系数曲线和在所有尺度下的小波系数谱,对该地区沙三段地层进行了层序地层研究,并建立了该地区沙三段层序地层格架,总结了小波变换后得到的小波系数曲线与小波系数谱中各自的变化情况所对应的地质意义。

关 键 词:辽河盆地  沙河街组  层序地层研究  小波变换

Application of Log Data Wavelet Transform in Sequence Stratigraphy Study
LI Zheng,SUN Chao,YAN Heng,MA Bing-bing,ZENG Ling-qi. Application of Log Data Wavelet Transform in Sequence Stratigraphy Study[J]. Journal of Chengde Petroleum College, 2012, 14(2): 21-25. DOI: 10.3969/j.issn.1008-9446.2012.02.009
Authors:LI Zheng  SUN Chao  YAN Heng  MA Bing-bing  ZENG Ling-qi
Affiliation:1.College of Resources and Environment,Southwest Petroleum University,Chengdu 610500,Sichuan,China; 2.Well Testing Company,Qinghai Oilfield Company,CNPC,Dunhuang 736202,Qinghai,China; 3.No.1 Production Plant of Company of Nanyang Oilfield,SNPC,Nanyang 473132,Henan,China; 4.Geological Logging Company of Chuanqing Drilling and Exploration CNPC,Chengdu 610057,Sichuan,China)
Abstract:Wavelet transform is the important supplementary means of log sequence stratigraphy study.This paper takes Shahejie Formation of the Xinkai-dongjiagang area in East Depression of Liaohe Basin as an example,one-dimensional continuous wavelet transform was applied on the log curve,with the help of the wavelet coefficients curve from the transform and wavelet coefficients spectrum in all scales,studying the characteristics of the sequence stratigraphy of the Shahejie formation in this region,and then building the sequence stratigraphic framework of Shahejie formation.Conclusions were obtained: different changes in wavelet coefficients curve and wavelet coefficients spectrum have different geological significance.
Keywords:Liaohe Basin  Shahejie formation  sequence stratigraphy study  wavelet transform
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