Research on three−dimensional seismic attribute fusion technology for characterizing fractures in granite geothermal reservoirs

LIAN Sheng; CHENG Zhengpu; WU Junjun; DONG Jinwei; TIAN Puyuan

doi:10.12029/gc20231213002

GEOLOGY IN CHINA > 2025 > Uncorrected proof > DOI: 10.12029/gc20231213002

Lian Sheng, Cheng Zhengpu, Wu Junjun, Dong Jinwei, Tian Puyuan. 2025. Research on three−dimensional seismic attribute fusion technology for characterizing fractures in granite geothermal reservoirs[J]. Geology in China, 52(2): 1−11. DOI: 10.12029/gc20231213002

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Research on three−dimensional seismic attribute fusion technology for characterizing fractures in granite geothermal reservoirs

LIAN Sheng^{1, 2,},
CHENG Zhengpu^{1, 2, ,},
WU Junjun³,
DONG Jinwei⁴,
TIAN Puyuan^{1, 2}

1.
Center for Hydrogeology and Environmental Geology Survey, China Geological Survey, Tianjin 300304, China
2.
Tianjin Engineering Center of Geothermal Resources Exploration and Development, Tianjin 300300, China
3.
BGP INC., China National Petroleum Corporation, Zhuozhou 072750, Hebei, China
4.
Liaohe Geophysical Exploration Company Branch of BGP CNPC, Panjin 124010, Liaoning, China

Funds: Supported by the projects of China Geological Survey (No.DD20211336, No. DD20230018).

More Information

Author Bio:
LIAN Sheng, male, born in 1985, senior engineer, engaged in the research of hydrogeophysics, geothermal geophysics; E-mail: liansheng@mail.cgs.gov.cn
Corresponding author:
CHENG Zhengpu, male, born in 1990, engineer, engaged in the research of geothermal geophysics; E-mail: czp1990@126.com.
Received Date: December 12, 2023
Revised Date: February 24, 2024
Available Online: March 04, 2025

Graphical Abstract

Abstract

Abstract

This paper is the result of geothermal survey engineering.
Objective
It is necessary to predict the characteristics, spatial distribution and density of natural fractures in granite reservoirs using high−precision seismic data and feature analysis methods, which provide scientific evidence for the construction of Enhanced Geothermal System (EGS).
Methods
This study adopted advanced 3D seismic techniques, including wideband, wide−angle, high−density sampling, as well as advanced processing methods such as structural−oriented filtering and multi−window dip scanning. The application of these techniques greatly improved the signal−to−noise ratio of seismic data, further optimizing the detection effect of the granite interior. At the same time, this study also combines 3D seismic attributes such as seismic attribute volume, maximum likelihood volume, coherence volume, curvature volume, variance volume, and ant volume with multi−azimuth constraints to accurately predict the spatial distribution density of fracture clusters.
Results
Through comprehensive attribute analysis and drilling imaging logging results, we reveal the regularity of the development of northeast and northwest fractures in granite−type hot dry rock reservoirs. These results are highly consistent with drilling imaging logging results, further verifying the accuracy and reliability of this research method.
Conclusions
This study successfully predicted the characteristics, spatial distribution, and density of natural fractures in granite−type hot dry rock reservoirs through high−precision seismic data and feature analysis methods. This method provides important evidence for fracture detection, drilling deployment, and mining plan determination in EGS engineering construction.
- three−dimensional seismic,
- seismic attributes,
- granite fractures,
- enhanced geothermal systems,
- hot dry rock,
- geothermal survey engineering
Highlights
An investigation into the characteristics of natural fractures within granite−type hot dry rock reservoirs was conducted using high−precision seismic data and characteristic analysis techniques. The spatial distribution and density of natural fractures were predicted, serving as a valuable foundation for drilling deployment and mining scheme determination in Enhanced Geothermal System (EGS) engineering construction.

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References (56)

References

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