基于Marchenko自聚焦的层间多次波压制  

Internal multiples attenuation using Marchenko autofocusing

作　　者：匡伟康 胡天跃[1] 安圣培 崔永福[2] 彭更新[2] KUANG Wei-kang;HU Tian-yue;AN Sheng-pei;CUI Yong-fu;PENG Geng-xin(School of Earth and Space Sciences,Peking University,Beijing 100871,China;PetroChina Tarim Oilfield Company,Xiajtang Korle 841000,China)

机构地区：[1]北京大学地球与空间科学学院,北京100871 [2]中国石油塔里木油田公司,新疆库尔勒841000

出　　处：《地球物理学进展》2018年第6期2347-2357,共11页Progress in Geophysics

基　　金：国家自然科学基金(41674122);国家科技重大专项(2016ZX05004003);国家重点基础研究发展计划(973)(2013CB228602)联合资助

摘　　要：地震层间多次波与一次波具有很大的相似性,有效压制地震层间多次波是目前地震资料处理的技术挑战.本文研究的基于Marchenko自聚焦的层间多次波压制方法,利用地面采集的反射波记录和宏观模型下得到的地下虚源点与地表之间的直达波记录,通过Marchenko自聚焦构造虚源点与地表之间的上行和下行格林函数波场,将去除直达波后的格林函数下行波场与完整的格林函数上行波场卷积构造层间多次波,经自适应相减将构造的层间多次波从反射记录中去除,实现压制层间多次波.基于苏里格气田模型的模拟数据本文验证了方法的有效性,本文方法的处理结果与传统拉东变换处理结果的对比表明本文的方法能有效克服拉东变换等基于动校正时差差异的方法的缺陷;抗噪性实验表明本文方法具有较强的抗噪能力,可望应用于实际地震资料处理.Internal multiples is very similar to primaries.Internal multiples attenuation is a big challenge in seismic data processing. The method of internal multiples attenuation using Marchenko autofocusing only requires reflection data and direct wave between virtual source point and surface.Firstly,retrieving the up-going Green's function and down-going Green's function between virtual source point and surface using Marchenko autofocusing.Then, convoluting the down-going Green's function whose direct wave have been removed and the up-going Green's function together to retrieve internal multiples.Finally,we get primaries after removing the internal multiples from reflection data using adaptive subtraction. We use a simulated example to show the effectivity of our method. The result shows that our method can suppress most energy of internal multiples.At the same time,we use radon transform method to process the same data,it shows that our method can get a better result.Because radon transform method relies on time difference of dynamic correction between primaries and multiples but our method have no assumption on time difference.Then we add noise with different SNR to analysis the robustness of the method.It shows that the method in this paper is robust to noise relatively.

关 键 词：Marchenko自聚焦 层间多次波压制 抗噪性 

分 类 号：P631[天文地球—地质矿产勘探]