Fracture detection method of messy body attribute based on multichannel synchro squeezing generalized S-transform

Huan WEN, Zhen WANG, LiMing DING, Jie LI, TianWei DU, Kui ZHANG, QunWu WANG

Prog Geophy ›› 2025, Vol. 40 ›› Issue (3) : 992-1003.

PDF(11178 KB)
image
Home Journals Progress in Geophysics
Progress in Geophysics

Abbreviation (ISO4): Prog Geophy      Editor in chief:

About  /  Aim & scope  /  Editorial board  /  Indexed  /  Contact  / 
Online first  /  Current issue  /  All issues  /  Top access  /  RSS
PDF(11178 KB)
Prog Geophy ›› 2025, Vol. 40 ›› Issue (3) : 992-1003. DOI: 10.6038/pg2025HH0590

Fracture detection method of messy body attribute based on multichannel synchro squeezing generalized S-transform

Author information +
History +

Abstract

Due to the limitation of the resolution of traditional time-frequency analysis algorithm, the energy of time-frequency spectrum diverges when seismic data are converted from time domain to time-frequency domain. The generalized s-transform of multi-channel synchronous extrusion has high time-frequency focusing ability, which can keep fracture information as much as possible and reduce time-frequency error when seismic data are transformed from time domain to time-frequency domain, then the fracture identification in time-frequency domain is carried out. The low frequency band of seismic data is advantageous to Kingdom of Dali-scale fault identification, while the high frequency band of seismic data is advantageous to the identification of small faults. Therefore, the fault identification algorithm based on time-frequency domain can characterize the fault information of different scales. In this paper, the technique of clutter detection and multi-channel synchronous squeezing generalized s-transform are combined to carry out fault identification of seismic data. The theoretical model and the single-channel signal show that the generalized s-transform algorithm of multi-channel synchronous extrusion has high time-frequency focusing ability, the micro-fractures can also be well characterized.

Key words

Time-frequency analysis / Multichannel synchro squeezing generalized S-transform / Time-frequency resolution / Disorder body attribute

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
Huan WEN , Zhen WANG , LiMing DING , et al . Fracture detection method of messy body attribute based on multichannel synchro squeezing generalized S-transform[J]. Progress in Geophysics. 2025, 40(3): 992-1003 https://doi.org/10.6038/pg2025HH0590

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis
Chen B , Sun D S , Zhu X M , et al. Fracture detection in volcanic rocks using discrete frequency coherency cubes on full-azimuth seismic data. OGP, 2011, 46 (4): 610- 613.
http://en.cnki.com.cn/Article_en/CJFDTOTAL-SYDQ201104021.htm
Cheng Z G , Bian L , Chen H D , et al. Multiscale fracture prediction technique via deep learning, seismic gradient disorder, and aberrance: Applied to tight sandstone reservoirs in the Hutubi block, southern Junggar Basin. Interpretation, 2022, 10 (4): T647- T663.
https://doi.org/10.1190/INT-2021-0249.1
Cited in this article [1]
Daubechies I , Lu J F , Wu H T . Synchrosqueezed wavelet transforms: an empirical mode decomposition-like tool. Applied and Computational Harmonic Analysis, 2011, 30 (2): 243- 261.
https://doi.org/10.1016/j.acha.2010.08.002
Cited in this article [1]
Duan Y T , Zheng X D , Hu L L , et al. Fault detection based on 3D semi-dense convolutional neural network. Progress in Geophysics, 2019, 34 (6): 2256- 2261.
https://doi.org/10.6038/pg2019CC0367
Gabor D . Theory of communication. Part 1: The analysis of information.. Journal of the Institution of Electrical Engineers-Part III: Radio and Communication Engineering, 1946, 93 (26): 429- 457.
http://www.onacademic.com/detail/journal_1000035581887310_6c3a.html
Cited in this article [1]
Huang W , Zhou J , Gao L J , et al. The application of frequency division ant tracking based on synchronous extrusion improvement of short time Fourier transform in crack detection. Geophysical and Geochemical Exploration, 2021, 45 (2): 432- 439.
Huang Z L , Zhang J Z . Synchrosqueezing S-transform. Scientia Sinica Informationis, 2016, 46 (5): 643- 650.
https://doi.org/10.1360/N112015-00011
Huang Z L , Zhang J Z , Zou Z H . A second-order synchrosqueezing S-transform and its application in seismic spectral decomposition. Chinese Journal of Geophysics, 2017, 60 (7): 2833- 2844.
https://doi.org/10.6038/cjg20170728
Lin C , Wang X B , Liu S B , et al. Application of Steerable Pyramid in reservoir faults imaging. Progress in Geophysics, 2012, 27 (1): 279- 287.
https://doi.org/10.6038/j.issn.1004-2903.2012.01.031
Liu J , Ren L D , Li Z J , et al. Seismic identification and evaluation of deep carbonate faults and fractures in Shunnan area, Tarim Basin. Oil and Gas Geology, 2017, 38 (4): 703- 710.
Ma L J , Jin Z J . Fine interpretation of complex fault-block structure. OGP, 2005, 40 (6): 688- 692.
http://en.cnki.com.cn/Article_en/CJFDTOTAL-SYDQ200506014.htm
Pham D H , Meignen S . High-order synchrosqueezing transform for multicomponent signals analysis--With an application to gravitational-wave signal. IEEE Transactions on Signal Processing, 2017, 65 (12): 3168- 3178.
https://doi.org/10.1109/TSP.2017.2686355
Cited in this article [1]
Stockwell R G , Mansinha L , Lowe R P . Localization of the complex spectrum: the S transform. IEEE Transactions on Signal Processing, 1996, 44 (4): 998- 1001.
https://doi.org/10.1109/78.492555
Cited in this article [1]
Wang L Y , Liu J , Gong W , et al. High-precision reservoir prediction technology and application of superdeep fault-controlled fracture-cave type in Shunbei, Tarim Basin. Progress in Geophysics, 2025, 40 (1): 199- 207.
https://doi.org/10.6038/pg2025II0102
Wang X W , Su M J , Liu J Y , et al. Computation of seismic coherence cube based on wavelet transform and its application. Geophysical Prospecting for Petroleum, 2002, 41 (3): 334- 338.
http://en.cnki.com.cn/Article_en/CJFDTOTAL-SYWT200203018.htm
Xiao W, Lei G, Li P, et al. 2020. Carbonate fault detection based on the disorder of amplitude gradient vector. //EAGE 2020 Annual Conference & Exhibition Online. European Association of Geoscientists & Engineers, 1-5.
Cited in this article [1]
Yan H T , Zhou H L , Niu C , et al. Fault identification with short-time Fourier transform frequency-decomposed coherence improved by synchronous extrusion. OGP, 2019a, 54 (4): 860- 866.
http://en.cnki.com.cn/Article_en/CJFDTotal-SYDQ201904017.htm
Yan H T , Gong Q S , Zhou H L , et al. Application of the spectral decomposition based on the improved short-time Fourier transform by synchronous extrusion. Petroleum Geology and Oilfield Development in Daqing, 2019b, 38 (3): 122- 131.
http://en.cnki.com.cn/Article_en/CJFDTotal-DQSK201903019.htm
Yan H T , Huang R , Zhou H L , et al. Application of Nanhai oil and gas identification based on synchrosqueezing generalized S transform. Progress in Geophysics, 2019c, 34 (3): 1229- 1235.
https://doi.org/10.6038/pg2019CC0143
Zeng H L, John A, Jackson K G. 2009. Frequency-dependent seismic stratigraphy. //SEG Technical Program Expanded Abstracts. SEG, 1097-1101.
Cited in this article [1]
Zhang Y J, Wen X T, Cao Q Z, et al. 2017. Seismic spectrum decomposition method based on deconvolution synchronous squeeze generalized S transform. //2017 Geophysical Technology Seminar (in Chinese). Tianjin, 1092-1094.
Zheng M J , Chen K L , Cai J S , et al. Application of shale gas fracture prediction based on amplitude gradient messy detection algorithm in Changning area. Progress in Geophysics, 2022, 37 (5): 2110- 2117.
https://doi.org/10.6038/pg2022FF0007
陈 波 , 孙 德胜 , 朱 筱敏 , 等. 利用地震数据分频相干技术检测火山岩裂缝. 石油地球物理勘探, 2011, 46 (4): 610- 613.
Cited in this article [2]
段 艳廷 , 郑 晓东 , 胡 莲莲 , 等. 基于3D半密度卷积神经网络的断裂检测. 地球物理学进展, 2019, 34 (6): 2256- 2261.
https://doi.org/10.6038/pg2019CC0367
Cited in this article [1]
黄 苇 , 周 捷 , 高 利君 , 等. 基于同步挤压改进短时傅里叶变换的分频蚂蚁追踪在断裂识别中的应用. 物探与化探, 2021, 45 (2): 432- 439.
Cited in this article [1]
黄 忠来 , 张 建中 . 同步挤压S变换. 中国科学: 信息科学, 2016, 46 (5): 643- 650.
Cited in this article [1]
黄 忠来 , 张 建中 , 邹 志辉 . 二阶同步挤压S变换及其在地震谱分解中的应用. 地球物理学报, 2017, 60 (7): 2833- 2844.
https://doi.org/10.6038/cjg20170728
Cited in this article [1]
林 春 , 王 绪本 , 刘 四兵 , 等. Steerable Pyramid分解在储层断裂检测中的应用. 地球物理学进展, 2012, 27 (1): 279- 287.
https://doi.org/10.6038/j.issn.1004-2903.2012.01.031
Cited in this article [1]
刘 军 , 任 丽丹 , 李 宗杰 , 等. 塔里木盆地顺南地区深层碳酸盐岩断裂和裂缝地震识别与评价. 石油与天然气地质, 2017, 38 (4): 703- 710.
Cited in this article [1]
马 丽娟 , 金 之钧 . 复杂断块构造的精细解释. 石油地球物理勘探, 2005, 40 (6): 688- 692.
Cited in this article [1]
王 来源 , 刘 军 , 龚 伟 , 等. 塔里木盆地顺北超深断控缝洞型储层高精度预测技术与应用. 地球物理学进展, 2025, 40 (1): 199- 207.
https://doi.org/10.6038/pg2025II0102
Cited in this article [1]
王 西文 , 苏 明军 , 刘 军迎 , 等. 基于小波变换的地震相干体算法及其应用. 石油物探, 2002, 41 (3): 334- 338.
Cited in this article [1]
严 海滔 , 周 怀来 , 牛 聪 , 等. 同步挤压改进短时傅里叶变换分频相干技术在断裂识别中的应用. 石油地球物理勘探, 2019a, 54 (4): 860- 866.
Cited in this article [2]
严 海滔 , 龚 齐森 , 周 怀来 , 等. 基于同步挤压改进短时傅里叶变换的谱分解应用. 大庆石油地质与开发, 2019b, 38 (3): 122- 131.
Cited in this article [1]
严 海滔 , 黄 饶 , 周 怀来 , 等. 同步挤压广义S变换在南海油气识别中的应用. 地球物理学进展, 2019c, 34 (3): 1229- 1235.
https://doi.org/10.6038/pg2019CC0143
Cited in this article [1]
张懿疆, 文晓涛, 曹其壮, 等. 2017. 基于反褶积同步挤压广义S变换的地震频谱分解方法. //2017年物探技术研讨会. 天津, 1092-1094.
Cited in this article [1]
郑 马嘉 , 陈 珂磷 , 蔡 景顺 , 等. 基于振幅梯度凌乱性检测算法的页岩气裂缝预测在长宁地区的应用. 地球物理学进展, 2022, 37 (5): 2110- 2117.
https://doi.org/10.6038/pg2022FF0007
Cited in this article [1]

感谢审稿专家提出的修改意见和编辑部的大力支持！

RIGHTS & PERMISSIONS

Copyright ©2025 Progress in Geophysics. All rights reserved.
PDF(11178 KB)

Accesses

Citation

Detail
Sections
Recommended

/

〈 〉