基于高阶谱估计技术的潜山裂缝储层精细预测
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摘要
潜山裂隙储层预测是亟待解决的难题,而高阶谱估计因能有效提取与地下含油气有关的地质信息而备受关注。采用三阶高阶谱分别对理论信号、物理模拟记录以及实际地震资料的谱计算,典型信号的谱计算结果表明,对于不同的信号,其高阶谱表现出了不同的特点。裂隙模型的模拟记录以及实际地震资料的谱计算结果表明:油气显示较好的裂缝发育带,其振幅谱能量块状分布,相位谱简单稳定;而在油气显示不太好的地区,其振幅谱能量零碎分布,相位谱变化快。同时也表明高阶谱估计技术在潜山裂隙储层精细预测方面具有较强的潜力。
Prediction of fractured reservoirs in buried-hill is really difficult for geophysicists.Geological information of oil-bearing properties can be effectively obtained by using high-order spectrum estimation method.In this paper,high-order spectrum estimation method was applied to calculate the three-order spectra of typical signals and seismic synthetic record from fracture model and actual data.The high-order spectra of typical signals behave differently.Results from both theoretical model and real data show that amplitude spectrum is in block distribution and phase spectrum is simple and stable in fracture development zone which is characterized by better oil shows.On the other hand,amplitude spectrum is in scattered distribution and phase spectrum changes quickly in the place where is characterized by worse oil shows.High-order spectrum estimation method is promising to predict fractured reservoirs accurately in buried-hill.
Prediction of fractured reservoirs in buried-hill is really difficult for geophysicists.Geological information of oil-bearing properties can be effectively obtained by using high-order spectrum estimation method.In this paper,high-order spectrum estimation method was applied to calculate the three-order spectra of typical signals and seismic synthetic record from fracture model and actual data.The high-order spectra of typical signals behave differently.Results from both theoretical model and real data show that amplitude spectrum is in block distribution and phase spectrum is simple and stable in fracture development zone which is characterized by better oil shows.On the other hand,amplitude spectrum is in scattered distribution and phase spectrum changes quickly in the place where is characterized by worse oil shows.High-order spectrum estimation method is promising to predict fractured reservoirs accurately in buried-hill.
引文
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11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
12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
13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
14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
2熊晓军,尹成,张白林,等.高阶统计量油气检测方法研究[J].地球物理学报,2004,47(5):920～927
3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
4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
5张贤达.时间序列分析——高阶统计量方法[M].北京:清华大学出版社,1996.1～285
6杨林,顾汉明,李宗杰,等.基于时频分析技术预测碳酸盐岩缝洞储层[J].天然气工业,2008,28(6):37～39
7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
8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
9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
10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
11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
12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
13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
14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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