A novel geophysics and fractal-based approach for predicting engineering geological structures in subsurface underground engineering

Abstract Constructing underground structures in coastal regions poses significant challenges, particularly due to seawater intrusion, which can cause corrosion and threaten the safety and stability of the caverns and surrounding facilities. A crucial aspect of preventing seawater intrusion lies in accurate mapping of the geological structure of the reservoir area and its proximity to the coastline. This study uses reflection seismic data, borehole ultrasonic imaging, and core samples to identify geological features that influence subsurface stability. The seismic profile revealed a V-shaped or concave-down structure associated with faults, suggesting a down-dropped block within the subsurface. Seismic facies analysis identified chaotic, high-amplitude reflections within basement rocks, indicating highly fractured and faulted zones, possibly including mylonitic rocks. A novel approach is proposed that combines borehole ultrasonic imaging with fractal theory, integrating core photos, seismic attributes, and geophysical analysis. A functional relationship was established between the joint surface density and the joint information dimension within the borehole. Additionally, a relationship was established between fault information dimension and borehole joint surface density. Results showed that the joint information dimensions within the identified fault zones consisttently exceeded 1.775. By applying a threshold of joint information dimension greater than 1.775, 15 small-scale structural prediction zones were identified. Subsequent analysis of core photos from the predicted regions confirmed the presence of relatively long fractured zones, demonstrating the high accuracy of the proposed method in identifying small-scale structures. This study presents a comprehensive method for mapping geological structures in coastal areas, providing an essential reference for the identification and management of small-scale features in underground engineering projects.

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Publication Details

Journal
International Journal of Coal Science & Technology
Published
2025-10-22
DOI
https://doi.org/10.1007/s40789-025-00818-w
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel geophysics and fractal-based approach for predicting engineering geological structures in subsurface underground engineering

Majid Khan, Jiuzheng Liang, Xueqiu He, Dazhao Song et al.
International Journal of Coal Science & Technology
Seismic Imaging and Inversion Techniques
article

A novel geophysics and fractal-based approach for predicting engineering geological structures in subsurface underground engineering

Majid Khan, Jiuzheng Liang, Xueqiu He, Dazhao Song, Shengquan He, Xiaomeng Miao, Zhaofeng Kang, Tuo Chen, Rentao Gou, Biao Cao
article en

Abstract

Abstract Constructing underground structures in coastal regions poses significant challenges, particularly due to seawater intrusion, which can cause corrosion and threaten the safety and stability of the caverns and surrounding facilities. A crucial aspect of preventing seawater intrusion lies in accurate mapping of the geological structure of the reservoir area and its proximity to the coastline. This study uses reflection seismic data, borehole ultrasonic imaging, and core samples to identify geological features that influence subsurface stability. The seismic profile revealed a V-shaped or concave-down structure associated with faults, suggesting a down-dropped block within the subsurface. Seismic facies analysis identified chaotic, high-amplitude reflections within basement rocks, indicating highly fractured and faulted zones, possibly including mylonitic rocks. A novel approach is proposed that combines borehole ultrasonic imaging with fractal theory, integrating core photos, seismic attributes, and geophysical analysis. A functional relationship was established between the joint surface density and the joint information dimension within the borehole. Additionally, a relationship was established between fault information dimension and borehole joint surface density. Results showed that the joint information dimensions within the identified fault zones consisttently exceeded 1.775. By applying a threshold of joint information dimension greater than 1.775, 15 small-scale structural prediction zones were identified. Subsequent analysis of core photos from the predicted regions confirmed the presence of relatively long fractured zones, demonstrating the high accuracy of the proposed method in identifying small-scale structures. This study presents a comprehensive method for mapping geological structures in coastal areas, providing an essential reference for the identification and management of small-scale features in underground engineering projects.

International Journal of Coal Science & TechnologyVol. 12(1)
Line Corporation (Japan) (JP), Xinjiang Institute of Engineering (CN), Sinochem Group (China) (CN), McGill University (CA), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 70%
Seismic Imaging and Inversion Techniques
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