摘要
针对同时震源数据最小二乘偏移(LSM)计算效率低的问题,笔者研究并提出了同时震源混合数据直接成像的结构匹配反褶积(SMD)方法。通过分窗的方式求取局部Hessian逆,加入局部结构约束,可以压制混合数据成像串扰噪音的同时对成像做照明补偿,提高成像质量。并在复杂sigesbee2A模型的数值测试中验证了SMD方法的有效性。结果表明,SMD能够有效地压制成像中的串扰噪音,且对成像振幅有一定的补偿作用,计算效率相比LSM有巨大提升。
A structure matching deconvolution( SMD) method for direct imaging of simultaneous-source blendeddata is studied and proposed to solve the problem of low computational efficiency of simultaneous-source data least square migration( LSM). The local inverse Hessian is obtained by dividing the image into windows,and the local structural constraint is added to the LSM process. The method can suppress the blended data imaging crosstalk noise,compensate the illumination and improve the imaging quality at the same time. The validity of the SMD method was verified in the numerical tests of the complex sigesbee2A model. The results show that SMD can effectively suppress the crosstalk noise and compensate the imaging amplitude to certain extent. Moreover,the computational efficiency is greatly improved compared to LSM.
作者
张攀
毛伟建
ZHANG Fan;MAO Wei-Jian(University of Chinese Academy of Science,Beijing 100049,China;State Key iMhoraton of Geodesy and Earth's Dynamics,Wuhan 430077,China;Institute of Geodesy and Geophysics,Chinese Academy of Geosciences,Wuhan 430077,China)
出处
《世界地质》
CAS
2018年第3期913-919,共7页
World Geology
基金
国家自然科学基金重点项目(U1562216)
中国石油集团公司<深层与非常规物探新方法新技术>项目(2016A-33)联合资助
关键词
同时震源
压制串扰
结构匹配反褶积
最小二乘偏移
simultaneous-source data
suppress cross-talk noise
structure-matching deconvolution
least-square migration
