地震分频多属性融合法在小断层解释中的应用

发布时间：2018-05-31 18:22

本文选题：频谱分解 + 属性融合　；参考：《特种油气藏》2017年06期

【摘要】：为解决KN区块构造解释的难题,采用地震分频多属性融合的方法提高断层识别精度。基于离散傅立叶变换数学理论,利用中值滤波对低频噪音具有良好的滤除作用,将地震资料进行分频,滤除地表巨厚黄土层造成的低频噪音影响,提取出20~40 Hz有效频带内的振幅数据体;在优质频带的地震数据体基础上,利用相干强弱、倾角和方位角的变化来识别小断层,将3类属性通过RGB混色,对该区的断层及裂缝发育带作出了有效预测。该方法识别出了KN区块发育的35条小断层,小断层在平面上以近南北向为主,局部发育北东、北西及近东西向小断层,在剖面上表现为正花状样式、正反"Y"字型及直立平行式3种组合样式。将频谱分解与属性融合两者有机结合,突破了传统意义上地震解释中的断层识别方法,有效指导了KN区块断距小于15 m的层间小断层精细地震解释工作,增强了地震解释成果的可信度。
[Abstract]:In order to solve the problem of structural interpretation of KN block, the method of seismic frequency division and multiple attributes fusion is used to improve the accuracy of fault identification. Based on the mathematical theory of discrete Fourier transform (DFT), the median filter is used to filter the low frequency noise. The amplitude data volume in the effective frequency band of 20 ~ 40 Hz is extracted. Based on the seismic data volume of high quality frequency band, the small faults are identified by the change of coherence, inclination angle and azimuth angle, and the three kinds of attributes are mixed by RGB. Effective prediction of faults and fracture zones in this area is made. In this method, 35 small faults developed in KN block have been identified. The small faults are mainly in the direction of NNE, NW, NW and NW in the plane. Positive and negative "Y" font and vertical parallel three types of combination. The combination of spectrum decomposition and attribute fusion has broken through the traditional fault identification method in seismic interpretation and effectively guided the fine seismic interpretation of small interlayer faults with fault spacing of less than 15 m in KN block. The reliability of seismic interpretation is enhanced.
【作者单位】：中海油研究总院;
【基金】：“十三五”国家科技重大专项“大型油气田及煤层气开发”(2016ZX05027-003-003) 中海石油(中国)有限公司综合科研项目“临兴—神府区块致密砂岩气成藏机理研究”(YXKY-2016-ZY-04);中海石油(中国)有限公司勘探生产项目“鄂尔多斯盆地临兴—神府区块致密气研究”(2017FCG-03)
【分类号】：P631.4

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