Acta Geophysica

, Volume 67, Issue 1, pp 95–107 | Cite as

3D-RVSP experimental study above a carbonate outcrop for coal resource exploration

  • Mingshun Hu
  • Dongming PanEmail author
  • Juanjuan Li
  • Hui Zhang
  • Shouhua Dong
  • Shenen Chen
  • Yongzhong Xu
Research Article - Applied Geophysics


In the areas where carbonate rocks expose to the near surface, there are several intractable issues in conventional surface seismic, including (1) weak reflection energy, (2) complex wave field and (3) serious static correction. Therefore, the seismic imaging result suffers significantly. However, RVSP is able to achieve reflected data with high quality since it generates seismic waves in borehole and receives seismic waves at the surface. In order to verify the applicability of RVSP technique in complex areas, this study carried out a 3D-RVSP seismic experiment in Wulunshan coal field, southwest China. Compared with the surface seismic data, RVSP data show higher signal-to-noise ratio, wider frequency band and weaker surface wave interference. In addition, two imaging methods (conventional CDP transform stack and novel equivalent-surface conversion) were implemented for RVSP data imaging. The imaging results show that the smaller and deeper structures can be revealed better by equivalent-surface conversion method than by CDP transform stack method. Hence, this study demonstrates that RVSP is an efficient method applied in the area with complex surface condition.


3D-RVSP Carbonate rocks outcrop area CDP transform stack Equivalent-surface conversion 



The authors are grateful for the editors and reviewers’ comments. Thanks to the financial support from Fundamental Research Funds for the Central Universities of China (2015QNB22, 2015XKMS036), Natural Science Foundation of Jiangsu Province (BK20160245, BK20170271), National key research and development program of China (2017YFC0804105) and A Project Funded by Priority Academic Program Development of Jiangsu Higher Education Institutions.


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Copyright information

© Institute of Geophysics, Polish Academy of Sciences & Polish Academy of Sciences 2019

Authors and Affiliations

  • Mingshun Hu
    • 1
    • 2
  • Dongming Pan
    • 2
    • 3
    Email author
  • Juanjuan Li
    • 4
  • Hui Zhang
    • 2
    • 5
  • Shouhua Dong
    • 2
  • Shenen Chen
    • 6
  • Yongzhong Xu
    • 2
  1. 1.Key Laboratory of Gas and Fire Control for Coal MinesChina University of Mining and TechnologyXuzhouChina
  2. 2.School of Resource and GeosciencesChina University of Mining and TechnologyXuzhouChina
  3. 3.State Key Laboratory for Geomechanics and Deep Underground EngineeringChina University of Mining and TechnologyXuzhouChina
  4. 4.IoT Perception Mine Research CenterChina University of Mining and TechnologyXuzhouChina
  5. 5.Institute of Applied GeophysicsYankuang GroupZouchengChina
  6. 6.Department of Civil and Environmental EngineeringUniversity of North Carolina at CharlotteCharlotteUSA

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