高阶谱分析技术识别地层旋回与沉积相带
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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。
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.
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.
引文
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2冯兵,蒋进勇.一体化解释在塔河油田三叠系油藏预测中的应用[J].石油物探,2003,42(3):384~388
3王书明,王家映,肖建玲.系统的构建及其功率谱和高阶谱的比较[J].石油物探,2005,44(3):202~205
4李大卫,尹成,熊晓军,等.高阶谱混合方法地震子波估计及处理[J].地球物理学进展,2005,20(1):29~33
5王书明,王家映.利用高阶谱重构功率谱抑制高斯有色噪声[J].科学技术与工程,2004,4(2):69~73
6李杏莉,王彦春,刘力辉,等.基于地震资料高阶统计量的含油气储层非均质性研究——鄂尔多斯盆地大牛地气田储层预测实例[J].石油地球物理勘探,2009,44(3):314~318
7高云,宋维琪,刘仕友.地震资料高阶累积量相关法砂体预测[J].地震地质,2007,29(1):88~94
8尹成,伍志明,邓怀群.高阶统计量方法在地震勘探中的应用[J].地球物理学进展,2003,18(3):546~550
9秦雪霏,韩立国,李巍.地震波多次散射波场的高阶谱统计分析[J].吉林大学学报,2007,37(增刊):91~94
10黄健英,李录明,罗省贤.基于高阶谱的地震子波估计[J].成都理工大学学报,2006,33(2):188~192
11谢桂生,石玉梅.基于高阶谱的高分辨率处理[J].石油地球物理勘探,2000,35(6):695~702
12李大卫,田继东,成竹,等.基于高阶统计的混合相位子波估计及其处理[J].勘探地球物理进展,2005,28(2):117~121
13李志华.高阶统计量方法在地球物理学中的应用[J].工程地球物理学报,2006,3(5):386~391
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