二维RMT倾子数据双参数聚类反演研究  

Dual-parameter inversion using two-dimensional tipper data of Radio-magnetotelluric based on clustering algorithm

作　　者：易柯 张志勇 万建华 李曼 周峰 YI Ke;ZHANG ZhiYong;WAN JianHua;LI Man;ZHOU Feng(School of Geophysics and Measurement-control Technology,East China University of Technology,Nanchang 330013,China;Key Laboratory of Airborne Geophysics and Remote Sensing Geology,Ministry of Natural Resources,Beijing 100083,China;State Key Laboratory of Nuclear Resources and Environment,Nanchang 330013,China)

机构地区：[1]东华理工大学地球物理与测控技术学院,南昌330013 [2]自然资源部航空地球物理与遥感地质重点实验室,北京100083 [3]核资源与环境国家重点实验室,南昌330013

出　　处：《地球物理学报》2024年第11期4343-4359,共17页Chinese Journal of Geophysics

基　　金：国家自然科学基金(42164008);自然资源部航空地球物理与遥感地质重点实验室开放基金(2023YFL11);横向课题(H202400128);江西省交通运输厅科技项目(2022H0025)联合资助。

摘　　要：本文开展了二维射频大地电磁法(RMT)倾子数据的电阻率与介电常数联合反演研究.通过非结构化网格有限单元法进行倾子正演模拟, 在分析位移电流对倾子影响的基础上, 开展电阻率与介电常数双参数同时反演;采用模糊C均值(FCM)聚类模型联合约束加强反演参数间的物性耦合, 同时利用网格渐进加密策略提高反演稳定性.理论计算表明, RMT倾子数据对电阻率有较好横向分辨率, 但垂向反演能力较差;由于缺少介质物性的绝对信息, 反演结果受初始模型影响较大.同时也证明, RMT倾子数据同时反演电阻率与介电常数具有可行性, 倾子数据对介电常数有较好横向分辨能力, 通过FCM聚类约束可有效提高电阻率与介电常数同时反演效果.In this paper, a resistivity and permittivity joint inversion using two-dimensional tipper data of radio-magnetotelluric (RMT) is studied. The finite element modeling of tipper using unstructured grids is carried out. Based on the analysis of the influence of displacement current on tipper data, a simultaneous inversion of resistivity and permittivity is carried out. The fuzzy C-means (FCM) clustering is used as mutual constraint to strengthen the physical coupling between the inversion parameters, and a progressive refining strategy for grid is applied to improve the stability of inversion. Synthetic examples show that the tipper data of RMT has great lateral resolution for resistivity, but poor capability for vertical imaging. Due to the lack of absolute information about the physical properties of the medium, the inverted models are greatly affected by the initial model. Moreover, the simultaneous inversion of resistivity and permittivity using tipper data of RMT is feasible. The tipper data has great lateral resolution of permittivity, and the recovered resistivity and permittivity models can be effectively improved by FCM clustering constraint.

关 键 词：射频大地电磁 倾子 位移电流 双参数反演 模糊C均值聚类 

分 类 号：P631[天文地球—地质矿产勘探]