| 地球物理测井序列的小波波谱方法 |
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| 引用本文： | 李庆谋,刘少华.地球物理测井序列的小波波谱方法[J].地球物理学进展,2002,17(1):78-83,101. |
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| 作者姓名： | 李庆谋 刘少华 |
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| 作者单位： | 1. 加拿大York大学,地球与空间科学系,多伦多,M3J1P3
2. 中国科学院地质与地球物理研究所,北京,100101 |
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| 基金项目： | 国家自然科学基金项目 (D497742 37) |
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| 摘 要： | 给出小波波谱分方法析及其快速算法，该方法保留了波谱的位置信息，使我们了解在序列中存在的周期特征、位置和信号的迭加模式等，开发了该方法的WINDOWS应用程序，并用此程度计算了新疆塔里木盆地X11井1500－2500m段RILD，GR，SP，DEN测井曲线的周期图与小波波谱，在小波波谱中发现了清晰的构造沉降和水平面变化－－沉积物供应变模式，而用以往的周期图方法无法得到这些信息。
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| 关 键 词： | 小波波谱 古气候 层序地层分析 测井曲线 周期分析 地球物理测井序列 |
| 文章编号： | 1004-2903(2002)01-0078-07 |
Wavelet Scalogram and Application for Geophysical Well |
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| LI Qing-mou,LIU Shao-hua.Wavelet Scalogram and Application for Geophysical Well[J].Progress in Geophysics,2002,17(1):78-83,101. |
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| Authors: | LI Qing-mou LIU Shao-hua |
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| Institution: | LI Qing-mou 1 LIU Shao-hua 2 |
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| Abstract: | Time series analysis method is important in well logging sequence analysis, paleoclimate research (such as Milankovitch cycles study), whilst the methods of cycles, successions, and rhythms methods are the most important. The wavelet scalogram which we presented here with fast calculation methods is better selection than the generally used cycles analysis methods such as auto-correlate power spectra methods, periodgram methods, MEM, MLM, and etc. Wavelet scalogram keeps the position information whereas we can not only find which frequency component is significant but also position where is that frequency, and more what the frequency stacking pattern is. A windows package is developed using widely the dynamic linked library (DLL) and Component Object Model (COM). Well logging curves, RILD, GR, SP, Den, of hole X11 from 1500m to 2500m in Tarim basin, XinJiang Chig are used to calculate periodgram and wavelet scalogram as examples. The cycles peaks in periodgram contain less information than scalogram. The subsidence, eustatic, and flux patterns are clear in the scalogram images. The scalogram method is useful and efficient in cycles analysis. |
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| Keywords: | Scalogram Paleoclimate Para-sequence Well Logging Periodgram |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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