Crosshole Radar Traveltime Tomographic Inversion using the Fast Marching Method and the Iteratively Linearized Scheme

Author:

Wang Fei1,Liu Sixin1,Qu Xinxin1

Affiliation:

1. College of Geo-Exploration Science and Technology, Jilin University, Ximinzhu, Changchun, China 130026

Abstract

Traditional straight ray- and curved ray-based tomography algorithms need to perform ray tracing to calculate travel times and construct the Jacobi matrix. We present a crosshole radar traveltime tomography algorithm that is based on the fast marching method (FMM) and the iteratively linearized scheme. The travel time is calculated using FMM and the Jacobi matrix is constructed using finite difference approximation, thus the traveltime tomography is carried out without raytracing. We test the suggested method on three synthetic models. In model 1, three types of model parameter weighting matrices are considered. In model 2, both first- and second-order FMM are tested. In model 3, we analyze three types of matrix inversion methods. The synthetic data tests show that the reconstruction using the Laplace operator, second-order FMM and LSQR simultaneously achieve the best result. To test the reconstruction ability of the proposed scheme on a realistic geological structure, we apply the algorithm to a field data set from Guizhou. For comparison, two traveltime tomography algorithms based on straight ray and curved ray are used. The comparisons indicate that our scheme can obtain a solution as good as the one resulting from a curved ray-based traveltime tomography algorithm.

Publisher

Environmental and Engineering Geophysical Society

Subject

Geophysics,Geotechnical Engineering and Engineering Geology,Environmental Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3