物探化探计算技术2026，Vol.48Issue(1)：107-116,10.DOI:10.12474/wthtjs.20241227-0002
基于交叉梯度结构约束的可控源电磁法反演研究
Inversion research of controlled-source electromagnetic method based on cross-gradient structure constraint
摘要
Abstract
Controlled Source Electromagnetic Method(CSEM)plays a significant role in geological exploration;however,its detection effectiveness still exhibits certain limitations.To improve the structural constraints of the Controlled-Source Electromagnetic Method on subsurface anomalies.More structural information can be introduced to constrain the inversion process,thereby reducing the multi-solution problem in the controlled-source electromagnetic method.Based on the cross-gradient method,this paper proposes adding a velocity model to the inversion process of the controlled-source electromagnetic method to impose structural constraints.To verify the effectiveness of the technique,this paper first establishes two simple theoretical models and conducts three-dimensional forward and inverse modeling studies on them.The LBFGS algorithm is selected and compared with the cross-gradient-constrained inversion of the synthetic data for the models.Secondly,this paper uses the electrical model of a lead-zinc ore body at Huaniushan,Gansu Province,to further carry out constrained inversion of complex structures.The research in this paper shows that the controllable-source inversion method based on cross-gradient structural constraints can improve the reliability of underground anomalous bodies,thereby verifying the effectiveness of this method in complex underground geological conditions.关键词
可控源电磁法/交叉梯度/速度结构/有限内存拟牛顿法(LBFGS)/三维正反演Key words
controlled source electromagnetic method/cross gradient/velocity structure/the limited-memory quasi-Newton method/3D Forward and Inverse Modeling分类
天文与地球科学引用本文复制引用
AN Hongying,YUE Yunbao,GUO Changan,CHEN Chutong,LI Yangming,WANG Kunpeng..基于交叉梯度结构约束的可控源电磁法反演研究[J].物探化探计算技术,2026,48(1):107-116,10.基金项目
地球深部探测与矿产资源勘查国家科技重大专项(2024ZD1002100) （2024ZD1002100）
四川省科技厅青年基金(2024NSFSC0803) （2024NSFSC0803）
自然资源综合调查指挥中心科技创新基金(KC20240024) （KC20240024）
四川省地质调查研究院项目(SCIGS-CZDXM-2024004) （SCIGS-CZDXM-2024004）
自然资源部四川省合作科研项目(2024ZRBSHZ131) （2024ZRBSHZ131）
