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高阶谱分析技术识别地层旋回与沉积相带
引用本文:穆星,高秋芬.高阶谱分析技术识别地层旋回与沉积相带[J].勘探地球物理进展,2010,33(2):121-125.
作者姓名:穆星  高秋芬
作者单位:1. 中国石油化工股份有限公司胜利油田分公司地质科学研究院,山东东营,257015
2. 天津市地质工程勘察院,天津,3000191
摘    要:高阶谱分析可以得到地震信号的一些特征参数和地质信息,高阶谱分析振幅谱结果可以很好地刻画地震波形的时间频率能量特征。以渤南洼陷地层旋回与沉积相带识别为例,通过单井高阶谱与地质特征分析,结合不同计算参数对比分析结果,表明大尺度时间能量分析着重于地质沉积的宏观态势,可以用于大尺度的地层旋回性质分析;小尺度时间能量分析结果分辨率较高,可以用来聚焦于局部能量的纵向变化。通过实例证实了高阶谱分析技术在识别地层旋回与沉积相带方面的有效性,同时也说明了高阶谱分析方法在渤南洼陷地层旋回性质分析中的重要作用。提出了利用高阶谱分析技术识别地层旋回与沉积相带的思路,为地层旋回和沉积相带的划分提供了一种有效的工具。

关 键 词:渤南洼陷
收稿时间:2009-12-18
修稿时间:2010-2-16

Classification of stratigraphic cycles and sedimentary facies belts based on high-order spectral analysis
Mu Xing,Gao Qiufen.Classification of stratigraphic cycles and sedimentary facies belts based on high-order spectral analysis[J].Progress in Exploration Geophysics,2010,33(2):121-125.
Authors:Mu Xing  Gao Qiufen
Affiliation:Mu Xing, Geological Scientific Research Institute, SINOPEC Shengli Oilfield Companyf, Dongying 257015, China
Abstract:The characteristic parameters of seismic signal and geological information can be obtained from high order spectral analysis. The temporal frequency energy features of seismic wave can be characterized by the amplitude spectrum from high order spectral analysis. This article discusses the classification of stratigraphic cycles and sedimentary facies belts in south Bonan Sag. The high order spectrum of single well and analysis of geological characters was studied. Different parameters are used in the high order spectrum analysis. The results showed that, time energy analysis of large scale can be used in microscopic sedimentary, to analyze the feature of stratigraphic cycles in large scale. In the other hand, the resolution of time energy analysis in small scale is high, thus can be used to recognize the vertical variations of local energy. The high order spectrum analysis technology is proved to be effective in the classification of stratigraphic cycles and sedimentary facies belts. High order spectrum analysis technology plays an important part in the analysis of stratigraphic cycle characters in Bonan Sag, which provides an efficient method to classify stratigraphic cycles and sedimentary facies belts.
Keywords:bonan Sag  high order spectrum  stratigraphic cycle  sedimentary facies belt
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