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Applied Geophysics

, Volume 15, Issue 3–4, pp 393–400 | Cite as

Modeling and inversions of acoustic reflection logging imaging using the combined monopole–dipole measurement mode

  • Hao Gong
  • Hao ChenEmail author
  • Xiao He
  • Chang Su
  • Xiu-Ming Wang
  • Bai-Cun Wang
  • Xiao-Hui Yan
Article
  • 9 Downloads

Abstract

In this paper, we theoretically and numerically study a combined monopole–dipole measurement mode to show its capability to overcome the issues encountered in conventional single-well imaging, i.e., the low signal-to-noise ratio of the reflections and azimuth ambiguity. First, the azimuth ambiguity, which exists extensively in conventional single-well imaging, is solved with an improved imaging procedure using combined monopole–dipole logging data in addition to conventional logging data. Furthermore, we demonstrate that the direct waves propagating along the boreholes with strong energy, can be effectively eliminated with the proposed combined monopole–dipole measurement mode. The reflections are therefore predominant in the combined monopole–dipole data even before the signals are filtered; thus, the reflections’ arrival times in each receiver are identified, which may help minimize the difficulties in filtering conventional logging data. The optimized processing flow of the combined measurement mode logging image is given in this paper. The proposed combined monopole–dipole measurement mode may improve the accuracy of single-well imaging.

Keywords

Single well imaging azimuth ambiguity multicomponent wave separation 

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Notes

Acknowledgements

This work was carried out in part by using computing resources at the Supercomputing Center of Chinese Academy of Sciences.

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Copyright information

© Editorial Office of Applied Geophysics and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Hao Gong
    • 1
    • 2
    • 3
    • 4
  • Hao Chen
    • 2
    • 3
    Email author
  • Xiao He
    • 2
  • Chang Su
    • 2
  • Xiu-Ming Wang
    • 2
    • 3
  • Bai-Cun Wang
    • 1
    • 4
  • Xiao-Hui Yan
    • 4
  1. 1.Tsinghua UniversityBeijingChina
  2. 2.State Key Laboratory of AcousticsBeijing Engineering Research Center of Deep Drilling Exploration and Measurement, Institute of AcousticsBeijingChina
  3. 3.University of Chinese Academy of SciencesBeijingChina
  4. 4.Chinese Academy of EngineeringBeijingChina

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