胡光辉^1,4,
张固澜^2,3,4,,,
孙思宇^1,4,
李勇^2,4,
杨金龙^1,4,
段景^2,4,
何红兵^1,4,
詹熠宗^2,4
1. 中国石化石油物探技术研究院, 南京 210000
2. 西南石油大学地球科学与技术学院, 成都 610500
3. 油气藏地质及开发工程国家重点实验室, 成都 610500
4. 高铁地震学联合研究组, 北京 100029

基金项目: 国家重点研发计划项目（2017YFB0202904），国家自然科学基金面上项目（41874168）和四川省****科技人才计划（2019JDJQ0053）联合资助


详细信息

作者简介: 胡光辉, 男, 1982年生, 高级工程师, 主要从事全波形反演及相关地球物理方法研究工作

通讯作者: 张固澜, 男, 1982年生, 教授, 博士生导师, 主要从事应用地球物理方面的教学与研究工作.E-mail:gulanzhang@163.com

中图分类号: P631

收稿日期:2019-04-24
修回日期:2019-07-30
上线日期:2019-12-05

FWI of high-speed-train seismic first arrival signal

HU GuangHui^1,4,
ZHANG GuLan^2,3,4,,,
SUN SiYu^1,4,
LI Yong^2,4,
YANG JingLong^1,4,
DUAN Jing^2,4,
HE HongBing^1,4,
ZHAN YiZong^2,4
1. Geophysical Research Institute, SINOPEC, Nanjing 210000, China
2. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
3. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu 610500, China
4. The Joint Research Group of High-speed-train Seismology, Beijing 100029, China


More Information

Corresponding author: ZHANG GuLan,E-mail:gulanzhang@163.com

MSC: P631

--> Received Date: 24 April 2019
Revised Date: 30 July 2019
Available Online: 05 December 2019


摘要
摘要:高铁地震信号由高速行驶的高铁列车与铁轨挤压形变后产生，具有频带宽、低频强、重复性好等优点.如何利用高铁地震信号进行地下介质重构，尚处于前期探索阶段.全波形反演建模技术是目前地球物理领域建模精度较高的方法之一，但其需要低频数据才能保证结果的稳定收敛，因此利用全波形反演对高铁地震信号进行近地表建模及属性变化监测和灾害预警具有独特优势.本文通过对高铁地震信号的分析，研究了高铁地震的理论震源信号和基于桥墩的离散震源信号，并通过模型测试实现了利用高铁地震信号的全波形反演建模及属性变化监测.
关键词: 高铁/
全波形反演/
震源估算/
近地表建模/
属性变化/
监测

Abstract:The high-speed-train seismic signal is generated by deformation extrusion between the high-speed-train and high-speed-railway,which has the advantages of wide frequency bandwidth,strong low frequency and good repeatability. How to use high-speed-train seismic signal to reconstruct underground media is still under study. The full waveform inversion (FWI) is one of the most accurate modeling methods in geophysics,which needs low frequency data to ensure its stable convergence. Therefore,it has a unique advantage to use this signal to perform FWI for near surface modeling,attribute change monitoring and disaster warning. Through the analysis of high-speed-train seismic signal,the theoretical high-speed-train seismic source signal and discrete high-speed-train seismic source signal based on bridge piers are studied,and the model FWI and attribute change monitoring are realized by using the high-speed-train seismic signal.
Key words:High-speed-train/
FWI/
Source estimation/
Near-surface modeling/
Property change/
Monitoring



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