A novel geophysics and fractal-based approach for predicting engineering geological structures in subsurface underground engineering
Shengquan He1
Rentao Gou2
Biao Cao2
Majid Khan2
Dazhao Song2
Xiaomeng Miao3
Jiuzheng Liang4
Tuo Chen5
Xueqiu He2
Zhongquan Kang2
1.Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine,University of Science and Technology Beijing,Beijing 100083,China;Key Laboratory of Xinjiang Coal Resources Green Mining,Ministry of Education,Xinjiang Institute of Engineering,Urumqi 830023,China2.Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine,University of Science and Technology Beijing,Beijing 100083,China3.Sinochem Energy Logistics Co.,Ltd.,Beijing 100031,China4.China Petroleum Pipeline Engineering Co.,Ltd.,Langfang 065000,China5.Department of Mining and Materials Engineering,McGill University,Montreal H3A 0E8,Canada
摘要：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.
机标关键词：engineeringnovelapproachfractal-basedgeologicalgeophysicspredictingstructures
论文发表日期：2025-12-31
在线出版日期：2026-01-30（本平台首次上网日期，不代表文献的发表时间）
页数：19( 227-245 )
英文信息