Applied Geophysics

, Volume 13, Issue 1, pp 93–102 | Cite as

Tomographic inversion of near-surface Q factor by combining surface and cross-hole seismic surveys

  • Guo-Fa Li
  • Hao Zheng
  • Wen-Liang Zhu
  • Ming-Chao Wang
  • Tong-Li Zhai


The estimation of the quality factor Q plays a fundamental role in enhancing seismic resolution via absorption compensation in the near-surface layer. We present a new geometry that can be used to acquire field data by combining surface and cross-hole surveys to decrease the effect of geophone coupling on Q estimation. In this study, we drilled number of receiver holes around the source hole, each hole has different depth and each geophone is placed geophones into the bottom of each receiver hole to avoid the effect of geophone coupling with the borehole wall on Q estimation in conventional cross-hole seismic surveys. We also propose a novel tomographic inversion of the Q factor without the effect of the source signature, and examine its stability and reliability using synthetic data. We estimate the Q factors of the near-surface layer in two different frequency bands using field data acquired in the Dagang Oilfield. The results show that seismic absorption in the near-surface layer is much greater than that in the subsurface strata. Thus, it is of critical practical importance to enhance the seismic solution by compensating for near-surface absorption. In addition, we derive different Q factors from two frequency bands, which can be treated, to some extent, as evidence of a frequency-dependent Q.


near surface Q factor tomographic inversion spectral ratio method frequency dependence 


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Copyright information

© Editorial Office of Applied Geophysics and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Guo-Fa Li
    • 1
  • Hao Zheng
    • 1
  • Wen-Liang Zhu
    • 2
  • Ming-Chao Wang
    • 1
  • Tong-Li Zhai
    • 2
  1. 1.State Key Laboratory of Petroleum Resource and ProspectingChina University of PetroleumBeijingChina
  2. 2.Dagang Oilfield, PetroChinaTianjinChina

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