基于模糊C均值聚类约束的井-地磁法联合数据空间反演  

Data space joint inversion of ground and borehole magnetic data with fuzzy C-means clustering constraints

作　　者：徐凯军[1] 李猛 季春晖 梁舒瑗 XU Kaijun;LI Meng;JI Chunhui;LIANG Shuyuan(School of Geosciences in China University of Petroleum(East China), Qingdao 266580, China)

机构地区：[1]中国石油大学(华东)地球科学与技术学院,山东青岛266580

出　　处：《中国石油大学学报（自然科学版）》2021年第3期55-64,共10页Journal of China University of Petroleum(Edition of Natural Science)

基　　金：国家重点研发计划项目(2018YFC0603301)。

摘　　要：针对井的数量和分布空间有限,磁法三维反演存在计算量大,反演多解性严重的问题,开展基于模糊C均值聚类约束的井-地磁法联合数据空间反演。采用数据空间反演方法,提高三维反演计算效率,然后在反演中引入模糊C均值聚类对反演迭代结果进行物性约束,提高反演结果可靠性。通过理论模型和冬瓜山矿区模型进行反演分析。结果表明数据空间反演能够减少反演计算时间;井-地磁异常联合反演综合了地面磁测和井中磁测的优点,提高反演结果的空间分辨率;基于模糊C均值聚类约束反演使反演物性值更接近真实值,并且反演异常体边界清晰。The number of boreholes is usually limited,and 3D magnetic data inversion is time consuming and suffers non-uniqueness problems.To address these problems,we present a data-space joint inversion of ground and borehole magnetic data with fuzzy C-means clustering constraints.First,we use the inversion method to improve the efficiency of the 3D inversion,then introduce the fuzzy C-means clustering constraint in the inversion to improve the inversion reliability.The theoretical model inversion results show that the data-space inversion can effectively reduce the computational time.The joint inversion method integrates the advantage of ground and borehole survey and improves the spatial resolution.The inverted results are closer to the true value and the boundary of anomalous body is clear with fuzzy C-means clustering constraints.

关 键 词：模糊C均值聚类 数据空间反演 井中磁测 井-地磁测联合反演 

分 类 号：P631.2[天文地球—地质矿产勘探]