| 测井多尺度分析方法用于准层序自动划分研究 |
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| 引用本文： | 房文静,范宜仁,邓少贵,谭茂金.测井多尺度分析方法用于准层序自动划分研究[J].地球物理学进展,2007,22(6):1809-1814. |
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| 作者姓名： | 房文静 范宜仁 邓少贵 谭茂金 |
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| 作者单位： | 1. 中国石油大学地球资源与信息学院,东营,257061;中国石油大学物理科学与技术学院,东营,257061
2. 中国石油大学地球资源与信息学院,东营,257061 |
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| 基金项目： | 中石油创新项目
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中国石油大学校科研和校改项目 |
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| 摘 要： | 多尺度分析方法实现了信号分析的时频局部化,是测井数据时频分析与地质解释恰当的数学工具.测井资料作为地层岩性、物性的反映,其中必然蕴含了大量与沉积地层旋回变化有关的信息.以胜坨油田某井为例,采用db4最佳小波基分别对自然伽马、自然电位和声波等测井曲线进行了多尺度分析,将一维测井数据拓展为二维深度-尺度空间,提取小波变换系数的时频色谱信息和能量信息,从而确定出测井曲线识别准层序界面的最佳尺度.依据最佳尺度下的小波系数幅度振荡特征和时频色谱信息实现了对准层序界面的自动划分,与传统方法所划分的界面基本一致.这些探索为层序地层的定量划分提供了一种新的思路.
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| 关 键 词： | 测井曲线 小波变换 多尺度分析 层序地层 准层序 |
| 文章编号： | 1004-2903（2007）06-1809-06 |
| 收稿时间： | 2006-12-10 |
| 修稿时间： | 2007-10-20 |
Application of multi-scale analysis to the demarcation of Parasequence Automatically in Well Logging |
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| FANG Wen-jing,FAN Yi-ren,Deng Shao-gui,Tan Mao-jin.Application of multi-scale analysis to the demarcation of Parasequence Automatically in Well Logging[J].Progress in Geophysics,2007,22(6):1809-1814. |
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| Authors: | FANG Wen-jing FAN Yi-ren Deng Shao-gui Tan Mao-jin |
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| Institution: | (1.CollegeofGeo-ResourceandInformation,ChinaUniversityofPetroleum,Dongying257061,China;2.CollegeofPhysicsandTechnology,ChinaUniversityofPetroleum,Dongying257061,China) |
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| Abstract: | Multiscale analysis realizing the time-frequency localization of signal analysis can be applied to time-frequency analysis of log data and geological interpretations.Log data representing lithology and physical properties embrace much information related to sedimentary cycles.For case study,db4 optimum wavelet base is used to transform GR,SP and AC from a well in Shengtuo oilfield.By this transformation the logging data are expended from one dimensional depth space into two dimensional depth-scale space.Time-frequency chromatogram and Wavelet spectrum are obtained from the Wavelet coefficients on different scales,and therefore determining the optimum scale corresponding to parasequence.Based on the Wavelet coefficients oscillation characteristic and time-frequency chromatogram,parasequence boundaries can be identified automatically,and it is in agreement with that obtained through the traditional method.All these researches provide a new method for the quantitative demarcating of sequence. |
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| Keywords: | logging curves wavelet transform multiscale analysis sequence stratigraphy parasequence |
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