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Experiments on excitation and data processing of low frequency vibroseis in permafrost area of Tibetan Plateau

  • Yu-Kun Tian
  • Yan-Hui MeiEmail author
  • Jie Cao
  • Juan Li
  • Hui Zhou
  • Yan-Yan Ma
Article

Abstract

Few seismic exploration work was carried out in Tibetan Plateau due to the characteristics of alpine hypoxia and harsh environmental protection needs. Complex near surface geological conditions, especially the signal shielding and static correction of permafrost make the quality of seismic data is not ideal, the signal to noise ratio (SNR) is low, and deep target horizon imaging is difficult. These data cannot provide high quality information for oil and gas geological survey and structural sedimentary research in the area. To solve the issue of seismic exploration in Tibetan Plateau, this test used low frequency vibroseis wide-line and high-density acquisition scheme. In view of the actual situation of the study area, the terrain, the source and the different observation system were simulated, and the processing technique was adopted to improve the quality of seismic data. Low-frequency components with a minimum of 1.5Hz of vibroseis ensure the deep geological target imaging quality in the area, the seismic profile wave group is clear, and the SNR is relatively high, which can meet the needs of oil and gas exploration. Seismic data can provide the support for the development of oil and gas survey in the Tibet plateau.

Keywords

Tibetan Plateau permafrost region low frequency vibroseis wide-line and highdensity 2D seismic static correction noise attenuation 

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Notes

Acknowledgements

We are grateful to Wang Jianmin, an expert of Daqing Oilfield Exploration and Development Research Institute, for his guidance and help in the process of writing this paper.

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Copyright information

© The Editorial Department of APPLIED GEOPHYSICS 2019

Authors and Affiliations

  • Yu-Kun Tian
    • 1
  • Yan-Hui Mei
    • 1
    Email author
  • Jie Cao
    • 1
  • Juan Li
    • 1
  • Hui Zhou
    • 1
  • Yan-Yan Ma
    • 1
  1. 1.Oil and Gas resources Survey CenterChina Geological SurveyBeijingChina

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