2017, 36(2) 609-615 DOI:   10.3969/j.issn.1004-5589.2017.02.028  ISSN: 1004-5589 CN: 22-1111/P

Current Issue | Archive | Search                                                            [Print]   [Close]
����
Information and Service
This Article
Supporting info
PDF(4308KB)
[HTML]
Reference
Service and feedback
Email this article to a colleague
Add to Bookshelf
Add to Citation Manager
Cite This Article
Email Alert
Keywords
F-K filter
Curvelet-median filter
deblending
blended acquisition
Authors
PubMed

Blended acquisition data separation method based on F-K domain and Curvelet-median filter joint denoising

LI Yu1, HAN Li-guo1,2, YE Lin1, LIU Qiang3

1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China;
2. Key Laboratory of Applied Geophysics, Ministry of Land and Resources, Changchun 130026, China;
3. CCTEG Xi'an Research Institute, Xi'an 710077, China

Abstract��

Shot separation process will inevitably lose some useful information, in order to solve this problem, the authors set up model experiments, which transformed blended acquisition data into frequency domain common offset gathers for F-K filter pre-processing, and suppressed most blended noises in the process of preserving seismic event. The authors then transformed the data to time domain common offset gathers for small window median filter, and designed iteration formula to undertake Curvelet threshold iteration denoising for common receiver point gathers. Separation results were finally obtained by constant iterations. Both simulated synthetic and field data certify that the deblended single shot record processed by this method is clear, and has good practical application value.

Keywords�� F-K filter   Curvelet-median filter   deblending   blended acquisition  
Received 2016-07-18 Revised 2017-01-17 Online:  
DOI: 10.3969/j.issn.1004-5589.2017.02.028
Fund:
Corresponding Authors:
Email: hanliguo@jlu.edu.cn
About author:

References��
Similar articles
1��XING Hui-ting, LIU Cai, LI Bing-xiu, LIU Yang, WEI Zhong-yu.Analysis of parameters in hyperbolic Radon transform[J]. , 2017,36(2): 579-587
2��LIANG Huang, HAN Li-guo, XU Zhuo, HU Yong, ZOU Jia-ru.Full waveform inversion based on weighted cross-correlation and least squares objective function[J]. , 2017,36(2): 588-594
3��ZHANG Si-meng, HAN Li-guo, YU Chen-xia.Decomposition imaging condition of reverse time migration bi-directional illumination wavefield[J]. , 2017,36(2): 602-608
4��ZHANG Wei, HAN Li-guo, LI Hong-jian, YE Lin, ZHANG Qi.De-ghosting of variable-depth streamer data based on least squares inversion in Radon domain[J]. , 2017,36(2): 595-601
5��LIU Ting, TIAN You, ZHU Hong-xiang, ZHOU Chao, QIAO Han-qing.Fracture property identification based on Artificial Fish-Swarm Algorithm and Pearson correlation coefficients[J]. , 2017,36(1): 293-298
6��ZHANG Ping, HAN Li-Guo.Seismic wave propagation modeling and analysis in anisotropic viscoelastic medium based on spectral element method[J]. , 2017,36(1): 255-265
7��ZHANG Qi, HAN Li-guo, LI Hong-jian, ZHANG Wei, YE Lin, BAI Lu.Dual-sensor summation technique for cross-ghosting based on F-K domain[J]. , 2017,36(1): 266-273

Copyright by