谱分解技术在断层识别上的应用
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摘要
谱分解是将一个短时窗内地震数据通过离散傅立叶变换或最大熵谱转换为频率域,利用频率-振幅谱来识别薄层和不连续地质体边界的新技术。由于断层对相位的稳定性影响比较大,断层及其附近相位谱很不稳定,远离断层的位置相位谱相对稳定或呈渐变特征,故应用相位调谐体频率切片识别和解释断层,比传统的相位属性技术更加准确。对高邮凹陷ChenBD、HuaZ地区两种不同断裂体系进行了谱分解研究,检测该技术对2级断层和3、4级断层的识别能力,通过对各目标层段主频值及提取参数的多次精细尝试,证实了该技术对2级断层的识别可靠性强,在一定条件下对3、4级断层也能取得良好效果。
The spectral decomposition is a new technique that the seismic data within a short time window is transformed into frequency domain through discrete Fourier transform or maximum entropy spectrum,and the frequency-amplitude is used to identify the thin layer and discontinuous geological boundary.As the great impact of fault to phase stability,the fault near phase spectrum has become very unstable,and that far from the fault is relatively stable or changes gradually.So the application of phase-frequency tuner chip is more accurate to identify and explain fault.than traditional phase attribute technique.The spectrum decomposition technique was used to study the two different fault systems of east Gaoyou and Chenbao area.,to test the recognition and distinction.of the technique to leve 2,3 and 4 fault.Good reliability and effects have been obtained.
引文
1朱庆荣,张越迁,于兴河等.分频解释技术在表征储层中的运用.矿物岩石,2003,23(3):64~68
    2蔡瑞.谱分解技术在储层预测中的应用.CT理论与应用研究,2003,12(2):22~25
    3毕俊凤,刘书会,陈学国等.分频解释技术在桩106地区馆上段河道砂体描述中的运用.油气地质与采收率,2003,10(5):38~40

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