强反射背景下沉积体边界检测及流体识别方法

针对地震资料中存在强反射背景屏蔽有效储层弱反射的情况,利用匹配追踪算法的自适应稀疏表示能力,提出了一种强反射背景下沉积体边界检测和流体识别的方法。该方法综合利用测井资料、井旁道地震数据以及快速匹配追踪算法实现了对强反射背景的最优匹配和有效分离,削弱其对下伏地层造成的振幅“假亮点”以及砂体连续分布的假象;在此基础上利用叠前弹性阻抗反演和流体因子识别技术,精细落实砂体的沉积期次和展布规律,提高了岩性圈闭边界和流体识别的精度。模型数据试算和实际地震资料处理的结果验证了该方法的可靠性和有效性。

Considering the ability of self-adaptive sparse representation for matching pursuit algorithm,we proposed a method for sedimentary boundary identification and fluid detection on the seismic data with strong background reflections shielding the effective information in weak reflections.Integrated of log data,uphole seismic trace and matching pursuit algorithm,the strong background reflections could be recognized and peeled away from the original seismic data;meanwhile,some interference of “false bright spots” and artificial continuous distribution of sand bodies could be weakened easily.Then,the elastic impedance inversion and fluid factor detection could be implemented to finely characterize the distribution of sand bodies and improve the accuracy of lithological trap detection and fluid identification.Applications on theoretical model and field seismic data demonstrate the reliability and effectiveness of our method.

国家科技重大专项(2011ZX05023-002-007)项目资助。