| 介质随机扰动条件下的层析反演算法 |
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| 引用本文： | 宋雷,刘天放,黄家会,李海鹏.介质随机扰动条件下的层析反演算法[J].地球物理学进展,2009,24(3):1098-1103. |
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| 作者姓名： | 宋雷 刘天放 黄家会 李海鹏 |
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| 作者单位： | 1. 中国矿业大学深部岩土力学与地下工程国家重点实验室,徐州,221008;中国矿业大学建工学院,徐州,221008
2. 中国矿业大学资源学院,徐州,221008 |
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| 基金项目： | 国家自然科学基金，交通部西部交通建设科技项 |
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| 摘 要： | 在层析成像中,介质的随机扰动将对反演精度有很大影响.本文在反演迭代过程中,通过自相关平滑算法,将先验约束由单纯的均值拓展为模型方差、相关系数等统计参数,实现了随机介质的分布特征对层析反演的先验约束,有利于压制高频干扰,提高层析成像的精度.岩溶区洞穴探测的工程实例表明,在传统层析反演算法无法获得合理解释的情况下,采用自相关平滑算法仍能获得合理的地质剖面.
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| 关 键 词： | 随机介质 层析反演 自相关平滑算法 岩溶 |
| 收稿时间： | 2008-9-1 |
| 修稿时间： | 2008-12-24 |
Tomography inversion arithmetic for stochastic disturbance in media |
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| SONG Lei,LIU Tian-Fang,HUANG Jia-hui,LI Hai-Peng.Tomography inversion arithmetic for stochastic disturbance in media[J].Progress in Geophysics,2009,24(3):1098-1103. |
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| Authors: | SONG Lei LIU Tian-Fang HUANG Jia-hui LI Hai-Peng |
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| Institution: | (1.StateKeyLaboratoryforGeomechanics&DeepUndergroundEngineering,Xuzhou221008,China;2.SchoolofArchitectureAndCivilEng.,ChinaUniversityOfMineralAndTech.,Xuzhou221008,China;3.SchooloFResource&Geoscience,ChinaUniversityOfMineralAndTech.,Xuzhou221008,China) |
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| Abstract: | Tomography inversion was largely deteriorated by background media stochastic disturbance. Considering the stochastic disturb of the study area, an Autocorrelation Smooth Method(ASM) was introduced into computer tomography, which successfully extended pre-restriction from mean values to variances, mean values,and autocorrelation coefficients etc. The ASM stochastic computer tomography can suppress high-frequency disturbance and improve inversion precision. Engineering examples of electromagnetic tomography exploration to karst cares show that when the traditional tomography method could not get logical interpretation , ASM could still get reasonable geological profiles. |
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| Keywords: | stochastic media computer tomography autocorrelation smooth method(ASM) karst |
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