A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application

Qian Zhao; Zhigang Chen; Hui Ma; Xing Sun; Yan Wang; Jianming Guo; Jiru Guo

doi:doi:10.11648/j.ogce.20231102.13

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A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application

Qian Zhao, Zhigang Chen, Hui Ma, Xing Sun, Yan Wang, Jianming Guo, Jiru Guo

Published in International Journal of Oil, Gas and Coal Engineering (Volume 11, Issue 2)

Received: 26 March 2023 Accepted: 26 April 2023 Published: 10 May 2023

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Abstract

S-wave source vector exploration is a promising technology in future seismic exploration. Conventional P-wave and S-wave joint inversion methods for hydrocarbon detection are limited in some aspects. First, P-wave and S-wave joint inversion is mainly based on the converted wave theory, but no theoretical support for S-wave generated by S-wave source. Second, the inversion method is complex and difficult to operate. Because P-wave and S-wave from S-wave source should accurately match with each other, without an effective approach, it has to follow the method of P-wave matching with converted wave, so it is not helpful to extensive application. This paper proposes a comprehensive s-wave spectral decomposition hydrocarbon detection method based on p-wave and s-wave source. First, the velocity ratio of P-wave to S-wave (Vp/Vs ratio) is derived to be equal to the frequency notch period ratio of P-wave to S-wave, and approximately equal to the dominant frequency ratio of P-wave to S-wave. Second, spectral decomposition is conducted at the target layer to obtain the tuning frequency spectra of P-wave and S-wave seismic data, respectively, and the dominant frequencies of P-wave and S-wave are automatically identified. Third, the Vp/Vs ratio and Poisson's ratio are calculated according to the dominant frequency ratio of P-wave to S-wave for final hydrocarbon detection. This method is independent on well data and accurate matching of P-wave with S-wave data, it is simple, quick and efficient. It’s widely applicable in any areas more or less explored. Application in an oilfield in western China has obtained effective results.

Published in	International Journal of Oil, Gas and Coal Engineering (Volume 11, Issue 2)
DOI	10.11648/j.ogce.20231102.13
Page(s)	47-52
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

S-wave Source, Vector Exploration, P-wave and S-wave Joint Inversion, Spectral Decomposition, Hydrocarbon Detection

References

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[2]	Hanson R, MacLeod M, Bell C, et al. (2000) 4-C seismic data and reservoir modeling at Alba Field, North Sea. SEG Expanded Abstracts. 19: 1453-1 455.
[3]	Yao Y. (2005) Development history and prospect of multi-wave seismic exploration prospect of multi-wave seismic exploration. Progress in Exploration Geophysics. 28 (3), 169-173.
[4]	Zhongyu H, Jianku S, Shijun Z, et al. (2007) Multi-wave and multi-component seismic technology. Beijing: Petroleum Industry Press. 1-114.
[5]	Zhaojun M, Jianming T, Tianji X. (2010) Research progress in multi-wave and multi-component seismic exploration. Progress in Exploration Geophysics. 8 (33), 247-253.
[6]	Xude H. (2002) Discussion on notches-in-thin-bed. Progress in Exploration Geophysics. 25 (5), 1-6.
[7]	Morgan N. (2001) Frequencies. Frontier. 12, 7-9.
[8]	Zhigang D. (2016) Application of multi-wave seismic exploration technology in petroleum exploration. China Petrochem. 24, 18-19.
[9]	Ying J, et al. (2022) Joint interpretation and application of P-wave and pure S-wave. Geophysical Prospecting for Petroleum. 61 (06), 1053-1064.
[10]	Partyka G, Gridley J, Lopdz J. (1999) Interpretational applications of spectral decomposition in reservoir characterization. The Leading Edge. 18 (3), 353-360.
[11]	Koefored O, de Voogd N. (1980) The Linear properties of thin layers with an application to synthetic seismograns over coal seams. Geophysics. 45 (8), 1254-1268.
[12]	Guowen C, et al. (2019) Application of PP-wave and SS-wave joint interpretation technology in gas cloud area. Lithologic Reservoirs. 31 (6), 79-87.
[13]	Chenghong Z. (2004) Progress in multi-component seismic technology reflected from EAGE 66th annual meeting. Progress in Exploration Geophysics. 27 (4): 300-307.
[14]	Zhongyu H, Hailong Z. (2003) Advances in converted-wave prestack migration. Progress in Exploration Geophysics. 26 (3), 167-171+185.
[15]	Liyan Z, Yang L. (2005) Overview of prestack time migration for converted wave. Progress in Geophysics. 20 (4), 1134-1139.

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APA Style

Qian Zhao, Zhigang Chen, Hui Ma, Xing Sun, Yan Wang, et al. (2023). A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application. International Journal of Oil, Gas and Coal Engineering, 11(2), 47-52. https://doi.org/10.11648/j.ogce.20231102.13

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ACS Style

Qian Zhao; Zhigang Chen; Hui Ma; Xing Sun; Yan Wang, et al. A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application. Int. J. Oil Gas Coal Eng. 2023, 11(2), 47-52. doi: 10.11648/j.ogce.20231102.13

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AMA Style

Qian Zhao, Zhigang Chen, Hui Ma, Xing Sun, Yan Wang, et al. A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application. Int J Oil Gas Coal Eng. 2023;11(2):47-52. doi: 10.11648/j.ogce.20231102.13

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@article{10.11648/j.ogce.20231102.13,
  author = {Qian Zhao and Zhigang Chen and Hui Ma and Xing Sun and Yan Wang and Jianming Guo and Jiru Guo},
  title = {A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application},
  journal = {International Journal of Oil, Gas and Coal Engineering},
  volume = {11},
  number = {2},
  pages = {47-52},
  doi = {10.11648/j.ogce.20231102.13},
  url = {https://doi.org/10.11648/j.ogce.20231102.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20231102.13},
  abstract = {S-wave source vector exploration is a promising technology in future seismic exploration. Conventional P-wave and S-wave joint inversion methods for hydrocarbon detection are limited in some aspects. First, P-wave and S-wave joint inversion is mainly based on the converted wave theory, but no theoretical support for S-wave generated by S-wave source. Second, the inversion method is complex and difficult to operate. Because P-wave and S-wave from S-wave source should accurately match with each other, without an effective approach, it has to follow the method of P-wave matching with converted wave, so it is not helpful to extensive application. This paper proposes a comprehensive s-wave spectral decomposition hydrocarbon detection method based on p-wave and s-wave source. First, the velocity ratio of P-wave to S-wave (Vp/Vs ratio) is derived to be equal to the frequency notch period ratio of P-wave to S-wave, and approximately equal to the dominant frequency ratio of P-wave to S-wave. Second, spectral decomposition is conducted at the target layer to obtain the tuning frequency spectra of P-wave and S-wave seismic data, respectively, and the dominant frequencies of P-wave and S-wave are automatically identified. Third, the Vp/Vs ratio and Poisson's ratio are calculated according to the dominant frequency ratio of P-wave to S-wave for final hydrocarbon detection. This method is independent on well data and accurate matching of P-wave with S-wave data, it is simple, quick and efficient. It’s widely applicable in any areas more or less explored. Application in an oilfield in western China has obtained effective results.},
 year = {2023}
}

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TY - JOUR
T1 - A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application
AU - Qian Zhao
AU - Zhigang Chen
AU - Hui Ma
AU - Xing Sun
AU - Yan Wang
AU - Jianming Guo
AU - Jiru Guo
Y1 - 2023/05/10
PY - 2023
N1 - https://doi.org/10.11648/j.ogce.20231102.13
DO - 10.11648/j.ogce.20231102.13
T2 - International Journal of Oil, Gas and Coal Engineering
JF - International Journal of Oil, Gas and Coal Engineering
JO - International Journal of Oil, Gas and Coal Engineering
SP - 47
EP - 52
PB - Science Publishing Group
SN - 2376-7677
UR - https://doi.org/10.11648/j.ogce.20231102.13
AB - S-wave source vector exploration is a promising technology in future seismic exploration. Conventional P-wave and S-wave joint inversion methods for hydrocarbon detection are limited in some aspects. First, P-wave and S-wave joint inversion is mainly based on the converted wave theory, but no theoretical support for S-wave generated by S-wave source. Second, the inversion method is complex and difficult to operate. Because P-wave and S-wave from S-wave source should accurately match with each other, without an effective approach, it has to follow the method of P-wave matching with converted wave, so it is not helpful to extensive application. This paper proposes a comprehensive s-wave spectral decomposition hydrocarbon detection method based on p-wave and s-wave source. First, the velocity ratio of P-wave to S-wave (Vp/Vs ratio) is derived to be equal to the frequency notch period ratio of P-wave to S-wave, and approximately equal to the dominant frequency ratio of P-wave to S-wave. Second, spectral decomposition is conducted at the target layer to obtain the tuning frequency spectra of P-wave and S-wave seismic data, respectively, and the dominant frequencies of P-wave and S-wave are automatically identified. Third, the Vp/Vs ratio and Poisson's ratio are calculated according to the dominant frequency ratio of P-wave to S-wave for final hydrocarbon detection. This method is independent on well data and accurate matching of P-wave with S-wave data, it is simple, quick and efficient. It’s widely applicable in any areas more or less explored. Application in an oilfield in western China has obtained effective results.
VL - 11
IS - 2
ER -

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Author Information

Qian Zhao

Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Zhigang Chen

Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Hui Ma

Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Xing Sun

Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Yan Wang

Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Jianming Guo

Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Jiru Guo

Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China

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Plain Text BibTeX RIS

APA Style

Qian Zhao, Zhigang Chen, Hui Ma, Xing Sun, Yan Wang, et al. (2023). A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application. International Journal of Oil, Gas and Coal Engineering, 11(2), 47-52. https://doi.org/10.11648/j.ogce.20231102.13

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ACS Style

Qian Zhao; Zhigang Chen; Hui Ma; Xing Sun; Yan Wang, et al. A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application. Int. J. Oil Gas Coal Eng. 2023, 11(2), 47-52. doi: 10.11648/j.ogce.20231102.13

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AMA Style

Qian Zhao, Zhigang Chen, Hui Ma, Xing Sun, Yan Wang, et al. A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application. Int J Oil Gas Coal Eng. 2023;11(2):47-52. doi: 10.11648/j.ogce.20231102.13

Copy | Download

@article{10.11648/j.ogce.20231102.13,
  author = {Qian Zhao and Zhigang Chen and Hui Ma and Xing Sun and Yan Wang and Jianming Guo and Jiru Guo},
  title = {A S-wave Spectral Decomposition Hydrocarbon Detection Method Based on P-wave and S-wave Source and Its Application},
  journal = {International Journal of Oil, Gas and Coal Engineering},
  volume = {11},
  number = {2},
  pages = {47-52},
  doi = {10.11648/j.ogce.20231102.13},
  url = {https://doi.org/10.11648/j.ogce.20231102.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20231102.13},
  abstract = {S-wave source vector exploration is a promising technology in future seismic exploration. Conventional P-wave and S-wave joint inversion methods for hydrocarbon detection are limited in some aspects. First, P-wave and S-wave joint inversion is mainly based on the converted wave theory, but no theoretical support for S-wave generated by S-wave source. Second, the inversion method is complex and difficult to operate. Because P-wave and S-wave from S-wave source should accurately match with each other, without an effective approach, it has to follow the method of P-wave matching with converted wave, so it is not helpful to extensive application. This paper proposes a comprehensive s-wave spectral decomposition hydrocarbon detection method based on p-wave and s-wave source. First, the velocity ratio of P-wave to S-wave (Vp/Vs ratio) is derived to be equal to the frequency notch period ratio of P-wave to S-wave, and approximately equal to the dominant frequency ratio of P-wave to S-wave. Second, spectral decomposition is conducted at the target layer to obtain the tuning frequency spectra of P-wave and S-wave seismic data, respectively, and the dominant frequencies of P-wave and S-wave are automatically identified. Third, the Vp/Vs ratio and Poisson's ratio are calculated according to the dominant frequency ratio of P-wave to S-wave for final hydrocarbon detection. This method is independent on well data and accurate matching of P-wave with S-wave data, it is simple, quick and efficient. It’s widely applicable in any areas more or less explored. Application in an oilfield in western China has obtained effective results.},
 year = {2023}
}

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