近场源多频电磁法人工蜂群约束反演研究  

Study on Constrained Artificial bee Colony Inversion of Near Source Multi‑Frequency Electromagnetic Data

作　　者：周俊杰[1,2] 胡英才[1,2] 喻翔 陈聪[1,2] 刘祜[2] ZHOU Junjie;HU Yingcai;YU Xiang;CHEN Cong;LIU Hu(National Key Laboratory of Remote Sensing Information and Image analysis,Beijing Research Institute of Uranium Geology,Beijing 100029,China;CNNC Key Laboratory of Uranium Resources Exploration and Evaluration Technology,Beijing Research Institute of Uranium Geology,Beijing 100029,China;China Nuclear Geology,Beijing 100013,China)

机构地区：[1]核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室,北京100029 [2]核工业北京地质研究院中核集团铀资源勘查与评价技术重点实验室,北京100029 [3]中国核工业地质局,北京100013

出　　处：《世界核地质科学》2023年第4期940-951,1008,共13页World Nuclear Geoscience

基　　金：核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室基金项目(编号:物ZJ2206)资助。

摘　　要：近场源多频电磁法常用于浅层电性结构调查,其数据反演结果直接影响探测成效。针对常规最小二乘反演收敛不稳定、多解性强的问题,提出一种人工蜂群非线性算法和先验信息约束相结合的反演方法。首先阐述了近场源多频电磁法正演问题,并对正演精度进行验证;在此基础上,对人工蜂群非线性算法原理进行了剖析,给出反演计算流程;之后,讨论了在人工蜂群反演中引入参考模型约束、光滑约束和物性范围约束的方法,最终形成近场源多频电磁法的人工蜂群约束反演方法。采用理论模型对该方法进行测试,结果表明:人工蜂群反演方法适用于多层模型,能满足数据拟合要求,且收敛曲线稳定下降,避免了常规反演陷入局部极小解的问题;人工蜂群反演在无约束时易出现虚假构造,而有约束时可有效收紧反演解空间,使结果更加接近真实值,反演结果质量更高。对两例不同电性环境下的近场源多频电磁实测数据进行试算,人工蜂群约束反演均给出符合实际地质情况的结果,表明该方法有效且可靠。因此,近场源多频电磁法的人工蜂群约束反演方法具有在实践中推广应用的价值。Near source multi⁃frequency electromagnetic method is often used to investigate shallow electrical structures such as engineering geological exploration,groundwater exploration,environmental assessment and underground or underwater buried target detection,etc.Because the near source electromagnetic field cannot be approximated as the plane wave field,one⁃dimensional inversion is still the most popular method in practical application due to the complexity of two⁃and three⁃dimensional forward and inversion.The conventional least square inversion often occurs the non⁃convergence problem,and its results may be inconsistent with the actual geological condition,which will directly affect the effectiveness of the detection.In order to suppress the negative impacts of convergence instability and strong non⁃uniqueness of conventional least squares inversion,an inversion method which combines artificial bee colony nonlinear algorithm and prior information constraints was proposed in this paper.Firstly,a brief theoretical introduction of the layered earth forward modeling of near source multi⁃frequency electromagnetic method was described,and the numerical accuracy of forward modeling was verified.Secondly,the principle of artificial bee colony nonlinear optimization theory was analyzed.The definitions of nectar source and species group of bees were given.Three different kinds of bees including leaders,followers and scouters act in a random way but their group hunting behavior is determined in the sense of complete nonlinear optimization algorithm.Then this algorithm was adopted in the problem of near source multi⁃frequency electromagnetic data inversion.The objective function was presented,which concerns with the quality of nectar source described in the artificial bee colony algorithm above.Meanwhile,the corresponding work flow of inversion calculation was summarized.After that,the methods of reference model constraint,smooth constraint and physical property range constraint were incorporated into artifici

关 键 词：近场源多频电磁法 反演 人工蜂群算法 先验信息约束 

分 类 号：P631[天文地球—地质矿产勘探]