川北HBC构造飞三段地震属性分析
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摘要
地震波穿过含油气储层时,会引起地震波波形、振幅、频率等参数以及速度、波阻抗等参数的变化。以四川盆地通南巴构造带HBC构造为例,介绍了地震属性分析技术及其在该区飞仙关组碳酸盐岩储层预测中的应用。根据碳酸盐岩储层的测井、钻井、测试资料及合成地震记录,建立了含油气储层的地震响应特征,确定了总能量、平均振幅、平均反射强度、平均瞬时频率、吸收系数等地震属性参数作为储层预测和含油气预测的敏感参数。最后根据各种地震属性进行了储层综合预测分析,预测了气富集区,指出有利勘探目标。研究表明,地震属性技术是该区有效的储层预测方法之一。
Waveform,amplitude,frequency,speed and impedance of seismic waves change when the waves travel across a hydrocarbon-bearing reservoir.Taking HBC structure of Tongnanba structure belt in Sichuan Basin as an example,the seismic attribute analysis technology and its application to predict carbonate reservoir of Feixianguan formation are introduced.On the basis of logging,drilling,testing data of the Feixianguan formation carbonate reservoir,as well as synthetic seismograms,the patterns of seismic responses for hydrocarbon-bearing reservoir are established,and that seismic attributes such as total energy,average amplitude,average reflect strength and absorption coefficient are sensitivity parameter for reservoir prediction and Hydrocarbon-bearing prediction are confirmed.Comprehensive technology of seismic attributes is applied to predict reservoir and oil and gas accumulation zones and select favorable exploration targets.Study results verify that seismic attribute technology is one of the effective reservoir prediction methods in this area.
引文
[1]刘企英.利用地震信息进行油气预测[M].北京:石油工业出版社,1994.
    [2]刘究斌.地震储层研究的现状及展望[J].地球学报,2002,23(1):73-78.
    [3]曹辉.关于地震属性应用的几点认识[J].勘探地球物理进展,2002,25(5):18-22.
    [4]Brown A R.Seismic attribute and their classification[J].The Leading Edge,1996,15(10):1096.
    [5]Chen Q,Sidney S.Seismic attribute technology for reser-voir forecasting and monitoring[J].The Leading Edge,1997,16(5):445-450.
    [6]王长城,施泽进,张光荣,等.川东南嘉陵江组储层地质特征及储层预测研究[J].西南石油大学学报(自然科学版),2008,30(1):8-11.
    [7]张军华,王伟,谭明友,等.地震解释的误区与对策[J].天然气工业,2007,27(增刊A):100-103.
    [8]郭刚明.地震属性技术的研究与应用[D].四川成都:西南石油学院,2005.
    [9]陈遵德.地震储层信息智能处理方法研究[D].四川成都:成都理工学院,2001.
    [10]王永刚,谢东,乐友喜,等.地震属性分析技术在储层预测中的应用[J].石油大学学报,2003,27(3):30-32.

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