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机构地区:[1]中国海洋大学海洋地球科学学院,山东青岛266100 [2]中国海洋大学海底科学与探测技术教育部重点实验室,山东青岛266100
出 处:《中国海洋大学学报(自然科学版)》2009年第1期125-132,共8页Periodical of Ocean University of China
基 金:国家高技术研究发展计划项目(2006AA09Z358)资助
摘 要:针对残余多次波的识别与压制问题,提出了1种应用于成像道集域的变周期预测反褶积方法。与传统的预测反褶积方法不同,该方法首先根据所建立的强波阻抗界面的深度-速度模型,在地震偏移剖面上追踪识别出残余多次波,并根据其传播时间确定出相应变化的多次波周期或预测步长,然后在成像道集上对含有残余多次波的成像道进行变周期预测反褶积压制处理,最后再将剔除残余多次波后的成像道集合成为新的地震偏移剖面。实验处理的结果表明:该方法不仅对微屈多次波有效,而且对残余的长周期鸣震多次波也可达到令人满意的压制效果。Aimed to distinguish and attenuate the residual multiples in the seismic data, a new method of varying period predictive deconvolution is developed to apply to imaging gathers in this research. Unlike the conventional predictive deconvolution approach, the method presented in this paper is firstly to distinguish the residual multiples on the migrated section by ray-tracing based upon a built depth-velocity model of the stronger impedance boundaries. The attenuation processing of the predictive deconvolution with variable periods or variable predictive steps, determined by the travel time(s) of the residual multiples on the section, is then applied to those traces which contain residual multiples in the corresponding imaging gathers. A new migrated section is finally synthesized by using the imaging gathers with the residual multiples eliminated. The experiment processing results demonstrate that the method can not only sufficiently attenuate the peg-leg multiples but also eliminate the long-period residual multiples to a satisfactory effect.
关 键 词:多次波识别 预测反褶积 残余多次波 微屈多次波 长周期鸣震
分 类 号:P631.4[天文地球—地质矿产勘探]
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