1887

Abstract

Summary

Vertica seismic profiling (VSP) is a seismic exploration technique in which often features the receivers placed along the wellbore while the sources located at the surface. VSP signals include up/down-going P-waves, S-waves as well as converted-waves, scattering waves, multiple waves, etc. The suppression of VSP multiples is a crucial task in VSP data processing. the effectiveness of VSP multiple wave suppression directly affects the ability to identify thin reservoirs. it is necessary to study methods that can completely suppress VSP multiple waves. This abstract proposes a frequency domain depth-varying deconvolution method. By extracting wavelets at different depths in VSP data, frequency-domain wavelet shaping is achieved. The new method effectively suppresses multiples at various VSP depths, demonstrating superior suppression effectiveness compared to traditional approaches. The new deconvolution VSP records are free of multiples, which is more conducive to multiple identification and high-precision downhole imaging. Through the study of VSP frequency domain depth-varying deconvolution method, effective suppression of VSP multiple waves has been achieved, and ideal results have been obtained by processing simulated and actual VSP records. The frequency domain depth-varying VSP deconvolution method can effectively suppress VSP multiple waves, with better results than time-domain deconvolution.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202478014
2024-10-29
2026-02-13
Loading full text...

Full text loading...

References

  1. SunZhe, LiuYang, WangJing, etc VSP optimization prediction deconvolution and VSP wavelet replacement method deconvolution [J]. Petroleum Geophysical Exploration, 2009, 44 (5): 5
    [Google Scholar]
  2. CaiZhidong, LiuCongwei, WangYong, et al., Deconvolution of well ground joint seismic data [J]. Petroleum Geophysical Exploration, 2017, 52 (1): 6
    [Google Scholar]
  3. QinLi, LuoKun, FengRongchang et al., Multi wave recognition technology and application effects based on VSP data [C]2018China Earth Science Joint Academic Annual Conference
    [Google Scholar]
  4. HeXinghua. Research on the Method and Application of Using Zero offset VSP Data to Improve the Resolution of Ground Seismic Data [J]. Petroleum Geophysics, 2011, 50 (5): 487–492
    [Google Scholar]
  5. LuoJian, SuBoran, GuoRuijun, etc Application of VSP Multi wave Identification Technology in the Herkhonde Region [C]. Chinese Petroleum Society2021 Geophysical Technology Seminar
    [Google Scholar]
  6. WangTengyu, ChenHao, ZhangZhen et al., Application of frequency adaptive wavelet deconvolution in VSP [J]. Science and Industry, 2023, 23 (23): 255–262
    [Google Scholar]
/content/papers/10.3997/2214-4609.202478014
Loading
/content/papers/10.3997/2214-4609.202478014
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error