Iterative Deblending With Multiple Constraints Based on Shaping Regularization

被引:66
|
作者
Chen, Yangkang [1 ]
机构
[1] Univ Texas Austin, Jackson Sch Geosci, Austin, TX 78713 USA
关键词
Deblending; inversion with multiple constraints; local orthogonalization; seislet thresholding; simultaneous sources; RANDOM NOISE ATTENUATION; DECOMPOSITION; SEPARATION; TRANSFORM;
D O I
10.1109/LGRS.2015.2463815
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
It has been previously shown that blended simultaneous-source data can be successfully separated using an iterative seislet thresholding algorithm. In this letter, I combine iterative seislet thresholding with a local orthogonalization technique via a shaping regularization framework. During the iterations, the deblended data and its blending noise section are not orthogonal to each other, indicating that the noise section contains significant coherent useful energy. Although the leakage of useful energy can be retrieved by updating the deblended data from the data misfit during many iterations, I propose to accelerate the retrieval of the leakage energy using iterative orthogonalization. It is the first time that multiple constraints are applied in an underdetermined deblending problem, and the new proposed framework can overcome the drawback of a low-dimensionality constraint in a traditional 2-D deblending problem. Simulated synthetic and field data examples show the superior performance of the proposed approach.
引用
收藏
页码:2247 / 2251
页数:5
相关论文
共 50 条
  • [1] Iterative deblending using shaping regularization with a combined PNMO-MF-FK coherency filter
    Chen, Yangkang
    Jin, Zhaoyu
    Gan, Shuwei
    Yang, Wencheng
    Xiang, Kui
    Bai, Min
    Huang, Weilin
    JOURNAL OF APPLIED GEOPHYSICS, 2015, 122 : 18 - 27
  • [2] Irregularly sampled multi-source data deblending based on shaping regularization
    Zu S.
    Zhou H.
    Chen Y.
    Qu S.
    Liu R.
    Chen H.
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2016, 51 (02): : 247 - 253
  • [3] Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization
    Chen, Yangkang
    Fomel, Sergey
    Hu, Jingwei
    GEOPHYSICS, 2014, 79 (05) : V179 - V189
  • [4] Iterative least squares spectrum inversion based on adaptive shaping regularization
    Yue Y.
    Chen Y.
    Wu J.
    Zeng M.
    Chen X.
    Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2022, 46 (03): : 54 - 61
  • [5] Deblending of Simultaneous-Source Seismic Data Using Bregman Iterative Shaping
    Cheng, Jing-Wang
    Chen, Wei
    Zhou, Li
    Yang, Liuqing
    Liu, Qimin
    Zhang, Xiang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (07): : 6208 - 6217
  • [6] ITERATIVE DEBLENDING BASED ON THE MODIFIED SINGULAR SPECTRUM ANALYSIS
    Wu, Juan
    Bai, Min
    JOURNAL OF SEISMIC EXPLORATION, 2019, 28 (01): : 1 - 20
  • [7] Unsupervised seismic data deblending based on the convolutional autoencoder regularization
    Yaru Xue
    Yuyao Chen
    Minhui Jiang
    Hanting Duan
    Libo Niu
    Chong Chen
    Acta Geophysica, 2022, 70 : 1171 - 1182
  • [8] Unsupervised seismic data deblending based on the convolutional autoencoder regularization
    Xue, Yaru
    Chen, Yuyao
    Jiang, Minhui
    Duan, Hanting
    Niu, Libo
    Chen, Chong
    ACTA GEOPHYSICA, 2022, 70 (03) : 1171 - 1182
  • [9] Iterative deblending of simultaneous-source data using a coherency-pass shaping operator
    Zu, Shaohuan
    Zhou, Hui
    Mao, Weijian
    Zhang, Dong
    Li, Chao
    Pan, Xiao
    Chen, Yangkang
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2017, 211 (01) : 541 - 557
  • [10] An iterative Bregman regularization method for optimal control problems with inequality constraints
    Poerner, Frank
    Wachsmuth, Daniel
    OPTIMIZATION, 2016, 65 (12) : 2195 - 2215