Application of 3-D FKK filtering in 3-D high-density onshore seismic field data

Jianping Liao, Songyuan Fu, Yungui Xu, Weibo Li, Jianxiong Chen, Huazhong Wang, Suping Peng, Andrew Hursthouse

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Abstract

For linear noise such as seismic ground roll, 3-D frequency-wavenumber-wavenumber (3-D FKK) domain filtering suppression is better than 2-D frequency-wavenumber (F-K) domain filtering. In recent years, with the continuous development of computer processing speed and memory capacity, high-density data acquisition in seismic exploration has been widely applied in the hydrocarbon industry, opening up the application of 3-D FKK filtering methods. We applied the 3-D FKK filtering software to a 3-D high-density onshore seismic field dataset from a coal mine in western China. The case study demonstrates that the linearity of the noise in the field data is better represented by constructing the single shot records as a minimum dataset. Both theoretical synthetic models and the 3-D high-density onshore seismic field data numerical filtering experiments demonstrate that the feasibility of 3-D FKK filtering.
Original languageEnglish
Pages (from-to)369-376
Number of pages8
JournalJournal of Environmental & Engineering Geophysics
Volume23
Issue number3
DOIs
Publication statusPublished - 1 Sep 2018

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Rayleigh waves
linearity
Coal mines
data acquisition
coal mine
Data acquisition
Hydrocarbons
hydrocarbon
software
Data storage equipment
industry
Processing
coal
shot
China
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hydrocarbons
experiment
Experiments
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Keywords

  • 3D FKK filter
  • geophysics
  • exploration
  • seismic data

Cite this

Liao, Jianping ; Fu, Songyuan ; Xu, Yungui ; Li, Weibo ; Chen, Jianxiong ; Wang, Huazhong ; Peng, Suping ; Hursthouse, Andrew. / Application of 3-D FKK filtering in 3-D high-density onshore seismic field data. In: Journal of Environmental & Engineering Geophysics. 2018 ; Vol. 23, No. 3. pp. 369-376.
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Application of 3-D FKK filtering in 3-D high-density onshore seismic field data. / Liao, Jianping; Fu, Songyuan; Xu, Yungui; Li, Weibo; Chen, Jianxiong; Wang, Huazhong; Peng, Suping; Hursthouse, Andrew.

In: Journal of Environmental & Engineering Geophysics, Vol. 23, No. 3, 01.09.2018, p. 369-376.

Research output: Contribution to journalArticle

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